Data Science
378 items from krzjoa/awesome-python-data-science ★3,613
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causalml github.com
Uplift modeling and causal inference with machine learning algorithms.
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PaddlePaddle github.com
PArallel Distributed Deep LEarning.
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keras-rl github.com
Deep Reinforcement Learning for Keras.
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cuML github.com
RAPIDS Machine Learning Library.
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ONNX github.com
Open Neural Network Exchange.
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statsforecast github.com
Lightning fast forecasting with statistical and econometric models.
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ignite github.com
High-level library to help with training neural networks in PyTorch.
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pandera github.com
A lightweight, flexible, and expressive statistical data testing library.
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Alphalens github.com
Performance analysis of predictive (alpha) stock factors.
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yellowbrick github.com
Visual analysis and diagnostic tools to facilitate machine learning model selection.
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Sacred github.com
A tool to help you configure, organize, log, and reproduce experiments.
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missingno github.com
Missing data visualization module for Python.
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geemap github.com
Python package for interactive mapping with Google Earth Engine (GEE)
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GPyTorch github.com
A highly efficient and modular implementation of Gaussian Processes in PyTorch.
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Veles github.com
Distributed machine learning platform.
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Vizro github.com
A toolkit for creating modular data visualization applications.
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aubio github.com
A library for audio and music analysis.
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bqplot github.com
Plotting library for IPython/Jupyter notebooks
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chartify github.com
Python library that makes it easy for data scientists to create charts.
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DI-engine github.com
OpenDILab Decision AI Engine.
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torchtext github.com
Data loaders and abstractions for text and NLP.
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pomegranate github.com
Probabilistic and graphical models for Python.
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PennyLane github.com
Quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
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Horovod github.com
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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flair github.com
Very simple framework for state-of-the-art NLP.
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dgl github.com
Python package built to ease deep learning on graph, on top of existing DL frameworks.
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Chaos Genius github.com
ML powered analytics engine for outlier/anomaly detection and root cause analysis
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Pandas Profiling github.com
Create HTML profiling reports from pandas DataFrame objects.
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blaze github.com
NumPy and pandas interface to Big Data.
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SweetViz github.com
Visualize and compare datasets, target values and associations, with one line of code.
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TRFL github.com
TensorFlow Reinforcement Learning.
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Little Ball of Fur github.com
A library for sampling graph structured data.
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Deepnote github.com
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps.
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Ludwig github.com
A toolbox that allows one to train and test deep learning models without the need to write code.
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DMTK github.com
Microsoft Distributed Machine Learning Toolkit.
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LAVIS github.com
A One-stop Library for Language-Vision Intelligence.
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Tianshou github.com
An elegant PyTorch deep reinforcement learning library.
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alibi-detect github.com
Algorithms for outlier, adversarial and drift detection.
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hyperlearn github.com
50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels.
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cleanrl github.com
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG).
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modin github.com
Speed up your pandas workflows by changing a single line of code.
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scikit-plot github.com
An intuitive library to add plotting functionality to scikit-learn objects.
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Spektral github.com
Deep learning on graphs.
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TPOT github.com
AutoML tool that optimizes machine learning pipelines using genetic programming.
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tsfresh github.com
Automatic extraction of relevant features from time series.
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sklearn-bayes github.com
Python package for Bayesian Machine Learning with scikit-learn API.
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AutoKeras github.com
AutoML library for deep learning.
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Hyperas github.com
Keras + Hyperopt: A straightforward wrapper for a convenient hyperparameter.
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pyro github.com
A flexible, scalable deep probabilistic programming library built on PyTorch.
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Bayesian Optimization github.com
A Python implementation of global optimization with gaussian processes.
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