tutel
best-of-ml-python
tutel | best-of-ml-python | |
---|---|---|
1 | 16 | |
658 | 15,364 | |
3.0% | 0.9% | |
6.5 | 7.8 | |
16 days ago | 3 days ago | |
Python | Python | |
MIT License | 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.
tutel
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Microsoft Research Introduces βTutelβ: A High-Performance MoE Library To Facilitate The Development Of Large-Scale DNN (Deep Neural Network) Models
You can read a short summary-based article written by Nitish (IIT Bhubaneshwar) here. The Github can be accessed here. If you are looking to read the full post on Microsoft, then you can read it here.
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
- π A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Awesome-WAF - π₯ Web-application firewalls (WAFs) from security standpoint.
mixture-of-experts - PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
transformers - π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
dtale - Visualizer for pandas data structures
ModuleFormer - ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward experts. We released a collection of ModuleFormer-based Language Models (MoLM) ranging in scale from 4 billion to 8 billion parameters.
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning
livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others