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1718059635611988158 | We're happy to announce the release of #pandas 2.1.2. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. Thanks to all contributors and sponsors who made this release possible!
The release notes can be found at:
https://t.co/3OdLkJiLPq | https://twitter.com/i/web/status/1718059635611988158 | [
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1717796194724839442 | 🔥 Our Latest: ”The proportional distribution of training by elite endurance athletes at different intensities during different phases of the season”: https://t.co/RlHjVAfr8k
#Training #Endurance #Elite #TID #Intensity #Heartrate #Polarized @E_C_S_S @SWEOlympic #ECSS @suunto | https://twitter.com/i/web/status/1717796194724839442 | [
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] |
1717738665961574560 | Time series easier, faster and more fun. Pytimetk.
I've made progress on the new anomalize function for pytimetk.
In 1 easy step, breakdown, identify and clean anomalies.
This is how. 🧵
#datascience #timeseries https://t.co/K2uiLvlgQD | https://twitter.com/i/web/status/1717738665961574560 | [
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1717738669216260202 | 2. Pytimetk Website ( 🏁 Get Started): https://t.co/S23KMV1mLj
3. GitHub - Please ⭐ us on GitHub (it takes 2-seconds and means a lot): https://t.co/TpCNdQglAk | https://twitter.com/i/web/status/1717738669216260202 | [
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1717517627587695079 | The Swedish Active Readiness Test
AKA, The "SART"
The hypothesis behind the test is an athlete’s heart rate response will be reduced when they are tired. Nothing earth shattering with this assertion. We often see heart rate suppression with fatigue.
What’s helpful is a… https://t.co/bQEecxnpKA | https://twitter.com/i/web/status/1717517627587695079 | [
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1717581334644740295 | Verwar hufterigheid niet met genialiteit: Hoe komt het dat we het megalomane gedrag van Musk aanvaarden en zelfs bejubelen? We weten al langer dat hij niet de gemakkelijkste is om voor te werken, met ontslagen die plots uit de lucht...
Lees verder 👇🏻👇🏻👇🏻 https://t.co/3UggCzoAX1 | https://twitter.com/i/web/status/1717581334644740295 | [
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1717488414117724377 | The maximal lactate steady state (MLSS) is the gold standard method to identify the maximal intensity where lactate remains constant over time (i.e. LT2). This is the first English-speaking paper on the MLSS and Hermann Heck was the driving force behind it https://t.co/7aWZrD3ESc https://t.co/aXO9SwHaYm | https://twitter.com/i/web/status/1717488414117724377 | [
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] |
1717543601981276195 | This is such a cool masters thesis.
«Interval-training at higher percentages of VO2max induces greater training adaptions than lower percentages in cyclists.»
https://t.co/w0fOXfhv28 | https://twitter.com/i/web/status/1717543601981276195 | [
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1717380540092019159 | WE ARE THE FIRST TEAM TO CROSS THE @WorldSolarChlg FINISH LINE: WE. ARE. WORLD CHAMPIONS!!! 🏆🏆
☀️🥇✨🇧🇪
#BWSC2023 https://t.co/QJlMqiWKT3 | https://twitter.com/i/web/status/1717380540092019159 | [
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1717409206632865852 | @Alan_Couzens @PEDALindustries Cyclists & cross country skiers. Why do you think that so many with record VO2 max are Norwegians/ Scandinavians? https://t.co/kmCLBmSz5T | https://twitter.com/i/web/status/1717409206632865852 | [
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1521500568488927234 | Show your support on https://t.co/RjDnkDbAsR. | https://twitter.com/i/web/status/1521500568488927234 | [
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1716830689780473963 | Online Now: Lactate activates the mitochondrial electron transport chain independently of its metabolism https://t.co/njqiCZzvhg https://t.co/3tYY6j0ZP9 | https://twitter.com/i/web/status/1716830689780473963 | [
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] |
1717050136600175058 | Lactate activates the mitochondrial electron transport chain independently of its metabolism
| just published in @MolecularCell |
https://t.co/cC9Adq78zC | https://twitter.com/i/web/status/1717050136600175058 | [
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] |
1716902388697833738 | I built out this #Python @matplotlib dashboard to teach principal components analysis (PCA) for #inferential #MachineLearning.
A great way to observe the change in variance explained with an orthogonal transformation. See it on #GitHub @ https://t.co/WgtuajpXOQ ∀. #DataScience https://t.co/laadVm5Lko | https://twitter.com/i/web/status/1716902388697833738 | [
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] |
1716935657136996498 | New release of llm-gpt4all - it's now really easy to run models like mistral-7b-instruct-v0 on your own machine:
pip install llm
llm install llm-gpt4all
llm -m mistral-7b-instruct-v0 "ten facts about pelicans"
https://t.co/h5lYFGDUpb | https://twitter.com/i/web/status/1716935657136996498 | [
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] |
1716693122317758903 | Tree Prompting: Efficient Task Adaptation without Fine-Tuning
abs: https://t.co/D0k1GtAf3R
code: https://t.co/TeDtEqho0l
Building a decision tree of prompts and LM responses to solve a task. The approach is competitive with finetuning and allows inspection of decisionmaking. https://t.co/Vf5COJwHhz | https://twitter.com/i/web/status/1716693122317758903 | [
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1716804526668447782 | The highest power outputs seem to be achieved on gradients between 5.9 and 6.9 percent ⚡️
An interesting study @pl_valenzuela et al comparing power data from professional cyclists in uphill and flat riding.
So I've written a blog about it.
https://t.co/yqx3SsEAMd | https://twitter.com/i/web/status/1716804526668447782 | [
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1716792273160044727 | @Alan_Couzens Yes, and even with "cross-training" thrown in, I stand by what I wrote. See for example: https://t.co/xwll3AO5Ep | https://twitter.com/i/web/status/1716792273160044727 | [
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1716530080501965219 | Extracting data from complex PDFs is a big use-case for LlamaIndex users. Kiran Panicker wrote a guest post on our blog about how to get this done: https://t.co/iRTfcrVm2d | https://twitter.com/i/web/status/1716530080501965219 | [
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1716479307294326975 | When you stop jumping you start dying. https://t.co/oLx2mZ2Id2 | https://twitter.com/i/web/status/1716479307294326975 | [
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1716730690597683637 | This hard workout really exemplifies how HR can remain "at upper threshold level" despite an ever-increasing perception of effort and mobilization. I was at a steady ~84% of Heart Rate Reserve for last 70min, but hit my limit during a phase when breathing rate held ~70 br/min… https://t.co/6YDa5DdVhR | https://twitter.com/i/web/status/1716730690597683637 | [
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1716469691835899935 | Do you need to use SSH with #Python?
Check out the Paramiko package! 🐍🔥
https://t.co/1wbBIJd69a https://t.co/VazumexHtp | https://twitter.com/i/web/status/1716469691835899935 | [
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] |
1716515167452668020 | To sum up:
→ Reduce code duplication, by encapsulating and extracting common functionality into separate functions under src/.
→ Add autorelaod magic to your notebook, to keep it in sync with your src/ code.
And Voila! | https://twitter.com/i/web/status/1716515167452668020 | [
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1716555664665858153 | The script for converting all GPKG files (20 GB in total) and parquet files. The data conversion took ~5 minutes and the summary statistics on 26 million features took ~30 seconds 😀 https://t.co/lLxewnLsrj | https://twitter.com/i/web/status/1716555664665858153 | [
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] |
1716546279319261512 | This tutorial offers foundational knowledge needed for building a real-time algorithm that provides heart rate variability biofeedback (HRV-B). #DataScience #ArtificialIntelligence https://t.co/jGABBvLl8X | https://twitter.com/i/web/status/1716546279319261512 | [
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1716528480526172621 | Want to access image #EXIF #IPTC #XMP #metadata from #python on #macOS? I wrote a little code to do that using Apple's native ImageIO framework directly from python https://t.co/1I6V6L4MRe | https://twitter.com/i/web/status/1716528480526172621 | [
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] |
1521500565406167042 | Forecast 1M time series in 30 minutes.
@nixtlainc + @raydistributed + @numba_jit = 🤩 🚀 ⚡
Recently, we launched the fastest version of #AutoARIMA for #python. Now you can scale your computation horizontally for millions of time series, leveraging the power of @raydistributed https://t.co/zkfBL0FYJ4 | https://twitter.com/i/web/status/1521500565406167042 | [
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1716466573974679613 | "Alan, in your experience, what are appropriate performance goals for different time commitments?"
Below you'll find a table of 5K times for different age-groups at different levels of development/training time commitment that I will be adding to Chapter 1 of my book.
A couple… https://t.co/uRD5CuuG5U | https://twitter.com/i/web/status/1716466573974679613 | [
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] |
1716204138017505351 | Le danger est motorisé.
Selon les données officielles en France, il n’y a eu qu’un seul piéton tué par un cycliste en 2022, contre 524 par des motorisés, d’après la base accidents de la sécurité routière. https://t.co/XSVPAtAZ5S | https://twitter.com/i/web/status/1716204138017505351 | [
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1716266805097070712 | I WAS SO FRUSTRATED with the way @github renders Jupyter Notebooks, esp on mobile (You cannot horizontal scroll code, even with nbviewer)
So I made a thing: https://t.co/VSIrhDXrVS
Source code is here https://t.co/uGOELNs9uT https://t.co/1nbOogyBzS | https://twitter.com/i/web/status/1716266805097070712 | [
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1716140598015545787 | Zowel het talent als het levensverhaal van Vivian Maier zijn ongeëvenaard. Puur toeval trouwens dat we er nog van kunnen genieten. Zie bv. https://t.co/hnKd29XDQy https://t.co/ETcjh1k4zP | https://twitter.com/i/web/status/1716140598015545787 | [
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] |
1715946832621437318 | Color Detection Using Python and OpenCV | Color Detection with Python
#python #opencv
https://t.co/CnMO5iUi7n | https://twitter.com/i/web/status/1715946832621437318 | [
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] |
1715812768350110135 | How does alcohol harm you?
⬇️ Sleep
⬆️ Blood pressure
⬆️ Triglycerides
⬆️ Risk car crashes, falls, drownings, & burns
⬆️ Risk Homicide & suicide.
⬆️ Cancer risk of breast, mouth, throat, oesophagus, voice box, liver, colon, & rectum
⬇️ Immune function.
Not a good deal, really. | https://twitter.com/i/web/status/1715812768350110135 | [
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1715700553655697847 | chat-with-your-data-solution-accelerator - A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI... https://t.co/mVbSrV9o8e | https://twitter.com/i/web/status/1715700553655697847 | [
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1855065030477464058 | This is fun! I wasn’t sure what was going to come out of the chatgpt memory feature, but if you left it accumulating memories for many months it seems to be able to get a pretty good sense of you from all your queries and over time. I saw other versions of it too, e.g. “tell me… https://t.co/sDmzsvIK8Q | https://twitter.com/i/web/status/1855065030477464058 | [
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1855089768402764250 | Google Gemini just changed how we build LLM apps with RAG
You can now ground LLMs responses using Google Search to consistently get factual answers. https://t.co/rnTS8Pttf0 | https://twitter.com/i/web/status/1855089768402764250 | [
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1855015218071355663 | uv 0.5.0 is out now 🚢🚢🚢
We did 30 releases without a breaking change, so this release contains a handful of them that we've accumulated over the past few months.
Many aimed at improving correctness. https://t.co/pxxrf0q9GS | https://twitter.com/i/web/status/1855015218071355663 | [
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] |
1854982629566943622 | Google just sailed up to OpenAI
HMS Victory style
tied up
and boarded https://t.co/zoEztm0E1z https://t.co/Sw9TckHxuo | https://twitter.com/i/web/status/1854982629566943622 | [
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1854972388988908023 | Microsoft introduced an Agent framework this week, and it went completely unnoticed.
The agent team can browse the internet, internal files, execute code, and more.
In this example, the Microsoft team made the agent autonomously order a sandwich.
First, an agent:
A) Plans -… https://t.co/XZgol3rYGf | https://twitter.com/i/web/status/1854972388988908023 | [
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1854614800321392916 | @AndrewYNg @Letta_AI @charlespacker @sarahwooders Would be very happy to give a course on structured output for LLMs @AndrewYNg @dottxtai https://t.co/rlsTuXVWpV | https://twitter.com/i/web/status/1854614800321392916 | [
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] |
1854509107161518454 | NER is not fully solved by throwing your prompt at an API.
You can kickstart with some generalist models, but you need to iterate on your data and build your own model, which will be smaller, more affordable, and more efficient.
Learn how: https://t.co/8LBWnhMByA | https://twitter.com/i/web/status/1854509107161518454 | [
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] |
1854623265471529129 | Do you have troubles making gifs and are sick of dealing with spammy sites and extensions? Me too.
I use this Colab notebook all the time for gif creation, and recommend it to you: https://t.co/zuIFjsI03P
Takes all the pain out of converting movies to gifs. https://t.co/rSVTy1aTM0 | https://twitter.com/i/web/status/1854623265471529129 | [
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1854632871836991783 | Video tutorial for deploying open models with @huggingface TGI on Cloud Run: https://t.co/YrFsrANy94
By @alvarobartt and @wietsevenema | https://twitter.com/i/web/status/1854632871836991783 | [
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1853964420411744626 | I made a video on the building blocks of building a report generation agent 🧱📑
This is one of the top enterprise agent use cases we've seen and a natural extension beyond basic RAG chatbots - fill out an Excel sheet, generate a PDF report, and more.
1. Structured outputs
2.… https://t.co/H3koZLKjMk https://t.co/KVxSIHQ23g | https://twitter.com/i/web/status/1853964420411744626 | [
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] |
1848738850576711961 | 🥳 The LLM Engineer's Handbook is officially released!
I'm really proud of this book.
It's a comprehensive guide to building and deploying LLM systems in the real world.
This is the culmination of @iusztinpaul's and my experience writing LLM courses and articles online. https://t.co/VmtXPOnWNk | https://twitter.com/i/web/status/1848738850576711961 | [
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] |
1854254265545416767 | Anyone need some good news?
@pydantic validating streamed structured responses on the fly from @OpenAI. (using pre-release Pydantic v2.10).
There's something cooking in the Pydantic kitchen... https://t.co/0PhQkQughu | https://twitter.com/i/web/status/1854254265545416767 | [
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1853633270849945704 | 📢Introducing Magentic-One, a generalist 5-agent multi-agent system for solving open-ended web- and file-based tasks. 🤖🤖🤖🤖🤖
Magentic-One represents a significant step towards agents that can complete tasks that people encounter in their daily lives and can achieve strong… https://t.co/6ZMloZawit | https://twitter.com/i/web/status/1853633270849945704 | [
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1854121365638357270 | How are you handling Agent selection and handoffs in multi-agent environments?
Here is a small PoC I built based on the "Agents" from @OpenAI swarm.
Are there any benchmarks or datasets, which i can use to evaluate "agent/tool" selection? https://t.co/oufjRPoqhr | https://twitter.com/i/web/status/1854121365638357270 | [
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1853864300344947068 | "Rapidly build AI apps in Python" https://t.co/gMiMUWVi2C | https://twitter.com/i/web/status/1853864300344947068 | [
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1853945512036368435 | I put together a bunch of examples of entity extraction using the structured outputs from the Azure OpenAI gpt-4o model:
https://t.co/IXbnpEhkp4
Extracting from images, PDFs, tables, GitHub issues, blog posts, etc. Happy extracting! | https://twitter.com/i/web/status/1853945512036368435 | [
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] |
1853528450532815277 | Crawling websites with new Haiku ✨
Anthropic’s new Haiku is super fast and is outperforming GPT-4o in some benchmarks.
Watch it crawl any website with @firecrawl_dev... just state a goal and the crawler will return data in a structured format.
Check it out: https://t.co/GFFKekvhn2 | https://twitter.com/i/web/status/1853528450532815277 | [
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1853861834253602949 | Looks better than htop https://t.co/cicf3LfR5d | https://twitter.com/i/web/status/1853861834253602949 | [
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1853800553475621136 | I wrote some code to use @numind_ai NuExtract1.5 0.5B for NER. It is a powerful SmolLM, and it works surprisingly well for prompt-free and fully configurable NER.
Notebook. https://t.co/KylbLcnNie | https://twitter.com/i/web/status/1853800553475621136 | [
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1715782583659712944 | Apparently, this tweet requires further "translation"...
In answer to chat-GPT's question, I am in full support of this approach 😊 https://t.co/Nq74Ko9Eax | https://twitter.com/i/web/status/1715782583659712944 | [
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1715772299549487579 | Impressive reflections on #durability at last week's #Ironman World Champs! Kudos to @fillyinscience for sharing these insights. 🌟💪 https://t.co/UX2mHsfhus | https://twitter.com/i/web/status/1715772299549487579 | [
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] |
1715335937712906310 | The new edition of one of the most popular machine learning textbooks came out in summer 2023 and unlike all the previous editions is in Python 🐍 and available for free as PDF book.
https://t.co/ubQoZgZgvf
When it comes to machine learning Python is clearly taking over,… https://t.co/6rY7Or9obk | https://twitter.com/i/web/status/1715335937712906310 | [
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] |
1715472679107535042 | I will be teaching #DuckDB for #geospatial starting next week. Learning spatial databases is so much easier with DuckDB. Follow the links below for updates 👇
Website: https://t.co/MiefzofnDY
GitHub: https://t.co/QbH4jTjDvM
YouTube: https://t.co/qALYaEpBqh https://t.co/Lb25QHDAMI | https://twitter.com/i/web/status/1715472679107535042 | [
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] |
1715424624970981776 | Time for a summary of this article, although a summary is not a replacement for a full article. Here we go:
CPU vs GPU:
CPUs have been optimized for executing sequential instructions as fast as possible. A lot of chip area goes towards reducing latency, such as large caches,… https://t.co/zVjQZXGjIc https://t.co/ZbrR9A9619 | https://twitter.com/i/web/status/1715424624970981776 | [
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1715408752868765930 | Coming soon to CausalPy… Regression Kink analysis. https://t.co/VwnDIP2ix7 | https://twitter.com/i/web/status/1715408752868765930 | [
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1715023428833407341 | What did he do to get 2 red cards at once https://t.co/trYZenOqBK | https://twitter.com/i/web/status/1715023428833407341 | [
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] |
1715049385112023466 | Deploy your favorite #Python framework to your favorite Azure host and database!
FastAPI, Flask, or Django on:
Azure App Service or Container Apps with:
PostgreSQL or CosmosDB
Find your combo here and start your deployment engines 🚀:
https://t.co/pbLt6aaZ34 | https://twitter.com/i/web/status/1715049385112023466 | [
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] |
1715216352628121910 | Yesterday's 🧵 in a nutshell 👇
SIX Python libraries to interpret ML models:
1️⃣ Scikit-learn
2️⃣ treeinterpreter
3️⃣ eli5
4️⃣ lime
5️⃣ SHAP
6️⃣ interpret | https://twitter.com/i/web/status/1715216352628121910 | [
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1714948376024711517 | great performance https://t.co/ROsEf5gTRQ | https://twitter.com/i/web/status/1714948376024711517 | [
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] |
1715083041729630678 | SadTalker Colab 🥳 Thanks to Wenxuan Zhang ❤ @shadocun ❤ Xuan Wang ❤ Yong Zhang ❤ Xi Shen ❤ Yu Guo ❤ Ying Shan ❤ Fei Wang ❤
🌐page: https://t.co/2ZSDXQ96IA
📄paper: https://t.co/hf30tQKfiU
🧬code: https://t.co/maFq7lemqm
🦒colab: please try it 🐣 https://t.co/uJ0MowKOfw https://t.co/lZTWi1PMfU | https://twitter.com/i/web/status/1715083041729630678 | [
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1714967062437671223 | The current best model, for every single task I use GPT for, is gpt4-0314 with temperature set to 0.1-0.4. It's frustrating that it's not the default model. | https://twitter.com/i/web/status/1714967062437671223 | [
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1715012426427777156 | @matplotlib The code:
https://t.co/xVuz1OShgT | https://twitter.com/i/web/status/1715012426427777156 | [
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1714642013423857717 | Google just dropped another epic AI update.
You can now generate AI images inside Google Slides (for free).
Here's how to set it up:
1. Visit labs(.)google(.)com
2. Locate "Google Workspace"
3. Click "Learn more" to join the waitlist
Once you do so, go to Google Slides.… https://t.co/mjdImJqHoo | https://twitter.com/i/web/status/1714642013423857717 | [
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1714937811114054135 | 🤔 Lakehouse, Warehouse, or both? #MicrosoftFabric offers you a lot of flexibility, but that also often comes back into discussion topics: should I use the lakehouse or the data warehouse?
https://t.co/XA7YZBhGjX
#datawarehouse #datalakehouse #lakehouse #dataplatform | https://twitter.com/i/web/status/1714937811114054135 | [
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1714793377076842850 | a new version of #Delta Python, now it support delete rows
https://t.co/I0IgVwR8YC https://t.co/yZl6WchfVE | https://twitter.com/i/web/status/1714793377076842850 | [
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1714702543924981815 | Me: “we don’t need explicit instructions, the users can figure it out”
The users: https://t.co/RCJHS7zMTP | https://twitter.com/i/web/status/1714702543924981815 | [
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1714773463477428542 | 🎉 We upgraded @kaggle GPU Notebooks to offer 29 GB RAM (up from 13GB) & 4 CPU cores (up from 2).
Have fun go nuts share cool stuff! https://t.co/QE3HlaCsns | https://twitter.com/i/web/status/1714773463477428542 | [
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] |
1714608670439334250 | This is another @matplotlib tip and it goes like this.
There are two Axes methods which are seemingly similar. But not quite.
These are:
▪ ax.set_axis_off()
▪ ax.set_frame_on()
Exhibit 1 demonstrates the difference.
1️⃣ ax.set_axis_off()
It clears everything from the… https://t.co/YVf6ZKO4Cy | https://twitter.com/i/web/status/1714608670439334250 | [
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1714370751581872485 | Have you tried to do some web scraping with #Python yet?
It's fun and easy with BeautifulSoup.: https://t.co/r47KeN4A1M | https://twitter.com/i/web/status/1714370751581872485 | [
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1714264449845190738 | Your regular reminder:
Fitness = Training Load x Training Response.
If either goes down, fitness goes down.
If either comes up, fitness comes up.
Pay attention to both. | https://twitter.com/i/web/status/1714264449845190738 | [
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1714327839317901812 | State of AI Report: very nice snapshot of the AI ecosystem across research, industry and (geo)politics (as usual each year :)). https://t.co/Jw2hNV52Oh https://t.co/mtV0GlMh71 | https://twitter.com/i/web/status/1714327839317901812 | [
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1714021558262628725 | "Where does the transition from 'lower volume' to 'higher volume" occur?"
i.e., when does the focus shift from the athlete having to be conscious to move enough to offset intake to having to eat enough to keep up with output?
I suspect this is quite individual and related to… | https://twitter.com/i/web/status/1714021558262628725 | [
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] |
1712801009741815965 | I've now completed 45 of the 68 Python notebooks that accompany my forthcoming book "Understanding Deep Learning". They will really help if you are learning (or teaching) deep learning.
Notebooks and book pdf at: https://t.co/hqRA1xUPkk
Book published Dec. 5th by @mitpress. https://t.co/zzoYKY3nXN | https://twitter.com/i/web/status/1712801009741815965 | [
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1712442152100208975 | En toen kregen Sofie Lemaire en Vincent Byloo de slappe lach. Nu al verkozen tot heerlijkste radiomoment van de dag, dit item over glitters en vaginale zonnebrand. Niet helemaal mee? Luister verder via Radio 1 Select.
#dewereldvansofie https://t.co/672g76kdNI | https://twitter.com/i/web/status/1712442152100208975 | [
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] |
1711358453418180905 | This should be impossible!
In just 3 lines of code, this open-source library can clean any ML dataset!
You can:
- flag outliers
- find label errors
- identify near duplicates
- perform active-learning
- find out of distribution samples
- And more ...
Introducing Cleanlab 🚀
A… https://t.co/GuoJId1JSz | https://twitter.com/i/web/status/1711358453418180905 | [
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] |
1711393231949222022 | To achieve functionality similar to R's auto.arima within a scikit-learn-like interface, use Pmdarima.
#Python #DataScience https://t.co/zYToFvEMs8 | https://twitter.com/i/web/status/1711393231949222022 | [
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] |
1711146263087837360 | ✅ Principal Component Analysis ( PCA) is an important technique in ML - Explained in simple terms.
A quick thread 👇🏻🧵
#MachineLearning #Coding #100DaysofCode #deeplearning #DataScience
PC : Research Gate https://t.co/4ni5FUpnas | https://twitter.com/i/web/status/1711146263087837360 | [
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1711041579249775059 | This is pretty wild.
A new paper by Google found that Perplexity and GPT-4 w/ prompting outperformed Google Search.
Anecdotally, I've also noticed more non-tech people using Perplexity over other LLMs for search queries.
Is Google search is slowly getting replaced? https://t.co/bbhL8ciVLA | https://twitter.com/i/web/status/1711041579249775059 | [
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1711095584940028370 | Everyone saw the demo of Zuck with @lexfridman in the metaverse, read the paper behind the tech a bit. Turns out it's a VAE, where the decoder predicts 1) a mesh of the person 2) the color of each 3D coordinate of the mesh, using SIREN (an MLP with a sine activation function) https://t.co/PJHC0iotxt | https://twitter.com/i/web/status/1711095584940028370 | [
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1710826525035995153 | I was ready to swap my left knee in for a new one a few years sgo and so glad that the surgeon suggested that i wait. My knee feels so much better. Joint replacement can be liberating for some folks but glad I got some more miles out of my original equipment. https://t.co/aSq5WBj0M5 | https://twitter.com/i/web/status/1710826525035995153 | [
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1710692265063305677 | Some good questions on just what it means to "not skimp on the off-season"
More detail in this post...
https://t.co/ssajxlCTDT | https://twitter.com/i/web/status/1710692265063305677 | [
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] |
1710668722669760870 | 4 Important Rules for Season Planning
1/ Don't skimp on the off-season
Athletes who don't take a proper off-season show a decreased response to the most important training late in the season. I see it every time.
2/ Be realistic with load increases
Look at what you *actually… | https://twitter.com/i/web/status/1710668722669760870 | [
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1710723075396993209 | Weekend reads. How about you? :) https://t.co/CJkHoVHO1n | https://twitter.com/i/web/status/1710723075396993209 | [
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1710639221893943323 | 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗲 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗕𝗲𝘁𝘄𝗲𝗲𝗻 𝗜𝗻𝗻𝗲𝗿, 𝗟𝗲𝗳𝘁, 𝗥𝗶𝗴𝗵𝘁, 𝗮𝗻𝗱 𝗙𝘂𝗹𝗹 𝗝𝗼𝗶𝗻?
🔹 (INNER) JOIN - return all rows with matching values in both tables.
🔹 LEFT (OUTER) JOIN - return all rows from the left table and those that meet the… https://t.co/yQ940JrLk0 | https://twitter.com/i/web/status/1710639221893943323 | [
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1710751023344607615 | I guess I could call this one WD40 since it’s a great way to knock the rust off. Hip mobility, groin strength, back stretch - rust removal. https://t.co/AfLyPxnUFb | https://twitter.com/i/web/status/1710751023344607615 | [
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] |
1710375622151983151 | This may be useful for lower back pain.
https://t.co/L5Pll2rmF3 | https://twitter.com/i/web/status/1710375622151983151 | [
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1710514285707964498 | Team work to solve obstacles 🫡 https://t.co/zPEt1cDpHx | https://twitter.com/i/web/status/1710514285707964498 | [
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1710354471862059495 | Polarized Training vs. Pyramidal Training: False dichotomy or can one be better for your training structure than the other? Find out here: https://t.co/9rexzXP2NA https://t.co/SPhcU42vOL | https://twitter.com/i/web/status/1710354471862059495 | [
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Subsets and Splits