GitHub repository with everything you need to become proficient in #PyTorch, with 15 implemented projects: https://
github.com/Coder-World04/
Complete-Pytorch-with-Projects-Series-
… — compiled by @NainaChaturved8 See this book: http://
amzn.to/3eC3x2p
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#DataScience #DataScientists #AI #MachineLearning #Python #DeepLearning
MACHINE LEARNING
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Master PyTorch with 15 Implemented Projects and Resources
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New Python Data Analysis Book with Hands-on Challenges
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Check out this great new book >> 50 Days of Data Analysis with #Python — The Ultimate Challenges Book for Beginners, with Hands-on Challenges using Pandas, NumPy, Matplotlib, Sklearn and Seaborn: http://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #DataScientists #Coding -
BEHAVIOR-1K Dataset Web Knowledgebase Browser Released
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To help the community navigate the wealth of interconnected information contained in BEHAVIOR-1K’s dataset of 1,000 activities, 50 scenes and 10,000 objects, we also release a web-based knowledgebase browser: 5/n https://t.co/O9eVeCi6ZE pic.twitter.com/iXVatbejrz
— Fei-Fei Li (@drfeifei) 22 mars 2024To help the community navigate the wealth of interconnected information contained in BEHAVIOR-1K’s dataset of 1,000 activities, 50 scenes and 10,000 objects, we also release a web-based knowledgebase browser: 5/n https://
behavior.stanford.edu/knowledgebase -
Stanford Releases BEHAVIOR-1K Robotics Framework with Documentation
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Our team has put a great amount of effort into making BEHAVIOR-1K as easy to install and get started as possible. Extensive documentation for various use cases BEHAVIOR-1K supports is now available on our website. The source code is available on GitHub 4/n https://
behavior.stanford.edu/omnigibson -
BEHAVIOR-1K Benchmark for Embodied AI Robotics Research
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As a reminder, BEHAVIOR-1K is a benchmark for embodied AI and robotics research with realistic simulation of 1,000 diverse household activities grounded in human needs. 2/n
Website: https://
behavior.stanford.edu
Paper: -

Efficient Video Diffusion Model with Motion Latent Representation
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Thank you @_akhaliq for showcasing our paper on efficient video diffusion. We propose content-motion latent diffusion model – an efficient video model that utilizes pretrained image diffusion models and a low-dimensional motion latent representation for video generation
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MOMENT: Open Source Time Series Foundation Models Family
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MOMENT – A Family of Open #TimeSeries Foundation Models: https://
arxiv.org/abs/2402.03885
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#DataScience #Mathematics #Statistics #Analytics #Forecasting #MachineLearning #PredictiveAnalytics #IoT #IIoT #DigitalTwins #AnomalyDetection -

Mastering Machine Learning Algorithms Second Edition Book Recommendation
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800-page book — I have a copy & I love it! >> "Mastering #MachineLearning #Algorithms" (2nd Edition): http://
amzn.to/37cDZ7F by @GiuseppeB ——————
#Python #DeepLearning #AI #BigData #DataScience #Calculus #Mathematics #Coding #DataScientists -

800 Free Online Computer Science Classes Available Now
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800 free #ComputerScience classes you can take online right now, most have video lectures: http://
bit.ly/3472Iia
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#BigData #DataScience #AI #ArtificialIntelligence #MachineLearning #DeepLearning #ComputerVision #Robotics #QuantumComputing #WebDevelopment #Databases #Algorithms -
Foundation Models Learning Biology Fundamentals Make Discoveries
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With vast amounts of data about genes and cells, foundation models are learning the fundamentals of biology. As the models scale up, scientists predict they will start making more profound discoveries. HAI faculty affiliate @jure was quoted in this story: