squirrel-core
PDEBench
squirrel-core | PDEBench | |
---|---|---|
1 | 2 | |
279 | 623 | |
0.7% | 2.9% | |
5.6 | 6.5 | |
6 days ago | about 1 month ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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squirrel-core
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[P] Squirrel: A new OS library for fast & flexible large-scale data loading
Today we open-sourced Squirrel, a data infrastructure library that my colleagues and I have been working on over the past 1.5 years: https://github.com/merantix-momentum/squirrel-core
PDEBench
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[P] LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
LagrangeBench is a machine learning benchmarking library for CFD particle problems based on JAX. It is designed to evaluate and develop learned particle models (e.g. graph neural networks) on challenging physical problems. To our knowledge it's the first benchmark for this specific set of problems. Our work was inspired by the grid-based benchmarks of PDEBench and PDEArena, and we propose it as a Lagrangian alternative.
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[D] what are the SOTA neural PDE solvers besides FNO?
try https://github.com/pdebench/pdebench
What are some alternatives?
squirrel-datasets-core - Squirrel dataset hub
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
talking-head-anime-3-demo - Demo Programs for the "Talking Head(?) Anime from a Single Image 3: Now the Body Too" Project
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.
pdearena
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
speaking_with_plato - Exploring Plato's philosophy with AI - A Data Spiral blog article
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.