github ml-tooling/best-of-ml-python 2022.04.14
Update: 2022.04.14

latest releases: 2024.05.16, 2024.05.09, 2024.05.02...
2 years ago

πŸ“ˆ Trending Up

Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity.

  • Recommenders (πŸ₯‡35 Β· ⭐ 13K Β· πŸ“ˆ) - Best Practices on Recommendation Systems. MIT
  • Bottleneck (πŸ₯ˆ34 Β· ⭐ 730 Β· πŸ“ˆ) - Fast NumPy array functions written in C. BSD-2
  • accelerate (πŸ₯‡32 Β· ⭐ 2.3K Β· πŸ“ˆ) - A simple way to train and use PyTorch models with.. Apache-2
  • SciSpacy (πŸ₯ˆ30 Β· ⭐ 1.1K Β· πŸ“ˆ) - A full spaCy pipeline and models for scientific/biomedical.. Apache-2
  • kmodes (πŸ₯ˆ30 Β· ⭐ 1K Β· πŸ“ˆ) - Python implementations of the k-modes and k-prototypes clustering.. MIT
  • minisom (πŸ₯‰27 Β· ⭐ 1K Β· πŸ“ˆ) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0
  • BioPandas (πŸ₯‰23 Β· ⭐ 440 Β· πŸ“ˆ) - Working with molecular structures in pandas DataFrames. BSD-3
  • equinox (πŸ₯‡23 Β· ⭐ 360 Β· πŸ“ˆ) - Callable PyTrees and filtered JIT/grad transformations =.. Apache-2
  • featurewiz (πŸ₯‰23 Β· ⭐ 210 Β· πŸ“ˆ) - Use advanced feature engineering strategies and select best.. Apache-2
  • textflint (πŸ₯‰18 Β· ⭐ 550 Β· πŸ“ˆ) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0

πŸ“‰ Trending Down

Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity.

  • Graphviz (πŸ₯ˆ35 Β· ⭐ 1.2K Β· πŸ“‰) - Simple Python interface for Graphviz. MIT
  • Albumentations (πŸ₯ˆ33 Β· ⭐ 10K Β· πŸ“‰) - Fast image augmentation library and an easy-to-use.. MIT
  • featuretools (πŸ₯ˆ32 Β· ⭐ 6.1K Β· πŸ“‰) - An open source python library for automated feature.. BSD-3
  • textacy (πŸ₯ˆ28 Β· ⭐ 1.9K Β· πŸ“‰) - NLP, before and after spaCy. Apache-2
  • Pillow-SIMD (πŸ₯‰27 Β· ⭐ 1.8K Β· πŸ“‰) - The friendly PIL fork. ❗️PIL
  • MMLSpark (πŸ₯‰23 Β· ⭐ 3.3K Β· πŸ“‰) - Simple and Distributed Machine Learning. MIT
  • SKLL (πŸ₯‰22 Β· ⭐ 530 Β· πŸ“‰) - SciKit-Learn Laboratory (SKLL) makes it easy to run.. ❗️BSD-1-Clause
  • Node2Vec (πŸ₯‰20 Β· ⭐ 890 Β· πŸ“‰) - Implementation of the node2vec algorithm. MIT
  • ecco (πŸ₯‰19 Β· ⭐ 1.4K Β· πŸ“‰) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
  • Maze (πŸ₯‰13 Β· ⭐ 200 Β· πŸ“‰) - Maze Applied Reinforcement Learning Framework. ❗️Custom

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