petastorm
best-of-ml-python
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petastorm | best-of-ml-python | |
---|---|---|
2 | 16 | |
1,748 | 15,302 | |
1.4% | 1.3% | |
3.7 | 7.9 | |
5 months ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | 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.
petastorm
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?
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
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.
dtale - Visualizer for pandas data structures
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
jina - ☁️ Build multimodal AI applications with cloud-native stack
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data