Awesome Python Data Science

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Adaptive Experimentation Platform

Microsoft Distributed Machine Learning Toolkit

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Algorithms for explaining machine learning models

Automatic architecture search and hyperparameter optimization for PyTorch

Algorithms for outlier, adversarial and drift detection

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

An efficient video loader for deep learning with smart shuffling that's super easy to digest

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Scrape Twitter for Tweets

Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

An intuitive library to add plotting functionality to scikit-learn objects.

Graph Neural Networks with Keras and Tensorflow 2.

A modular active learning framework for Python

Source-to-Source Debuggable Derivatives in Pure Python

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Reinforcement Learning in PyTorch

Optax is a gradient processing and optimization library for JAX.

Feature engineering and selection open-source Python library compatible with sklearn.

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

🏕️ Reproducible development environment for humans and agents

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Open source time series library for Python

A toolkit for reproducible reinforcement learning research.

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

A Python package for manipulating 2-dimensional tabular data structures

Natural Gradient Boosting for Probabilistic Prediction

A flexible, intuitive and fast forecasting library

Genetic Programming in Python, with a scikit-learn inspired API

Python library for interactive topic model visualization. Port of the R LDAvis package.

Deep learning with dynamic computation graphs in TensorFlow

Interpretability and explainability of data and machine learning models

Clean PyTorch implementations of imitation and reward learning algorithms

Painlessly create beautiful matplotlib plots.

A high performance Python graph library implemented in Rust.

A distributed task scheduler for Dask

An offline deep reinforcement learning library

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Python audio and music signal processing library

Hyper-parameter optimization for sklearn

Synthetic data generators for tabular and time-series data

Hyperparameter Experiments with TensorFlow and Keras

Python implementations of the Boruta all-relevant feature selection method.

Mesh TensorFlow: Model Parallelism Made Easier

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Lightweight and extensible compatibility layer between dataframe libraries!