PDEBench
best-of-ml-python
PDEBench | best-of-ml-python | |
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2 | 16 | |
623 | 15,335 | |
3.7% | 0.7% | |
6.5 | 7.8 | |
about 1 month ago | 8 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Creative Commons Attribution Share Alike 4.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
best-of-ml-python
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Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Best-Of Machine Learning with Python
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Questions regarding Job Requirements for data analyst to data science transition?
You will need numpy, scipy, pandas, scikit-learn, Keras/tensorflow/pytorch, xgboost and many many many others. See this list for example.
- Awesome list of ML
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
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Learning opencv
Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
- Best-of Machine Learning with Python
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
dtale - Visualizer for pandas data structures
pdearena
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
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.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data