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scikit-learn: machine learning in Python

Home Page: https://scikit-learn.org

License: BSD 3-Clause "New" or "Revised" License

Python 92.23% Shell 0.33% C 0.32% C++ 1.14% Makefile 0.01% Cython 5.61% Starlark 0.01% JavaScript 0.01% Meson 0.25% CSS 0.09%

scikit-learn's Introduction

Hi there ๐Ÿ‘‹

Expand ๐Ÿ‘‡ or visit this page to see my public repos.

Projects List

Research

  • bcell - A framework for linear B-cell epitope prediction and classification. (ECML PKDD 2023)
  • deep-vaccine - Predict multi-epitope vaccine subunit candidates using NLP.
  • master-thesis - The code for my master's degree project.

Tools

  • py-cdhit - A Python interface for CD-HIT package.
  • auto-sphinx-page-action - GitHub action that creates website using Sphinx.
  • phasty - A Python interface for PHAST (phylogenetic analysis with space/time models).
  • config-argument-parser - A package to help automatically create command-line interface from configuration or code.

Featured Projects

Others

  • scikit-learn/scikit-learn - scikit-learn: machine learning in Python
  • pandas-dev/pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
  • scipy/scipy - SciPy library main repository
  • pytorch/pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
  • shap/shap - A game theoretic approach to explain the output of any machine learning model.
  • pyg-team/pytorch_geometric - Graph Neural Network Library for PyTorch
  • matplotlib/matplotlib - matplotlib: plotting with Python
  • probml/pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
  • scverse/scanpy - Single-cell analysis in Python. Scales to >1M cells.

scikit-learn's People

Contributors

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Watchers

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