Data Science
378 items from krzjoa/awesome-python-data-science ★3,613
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librosa github.com
Python library for audio and music analysis.
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evidently github.com
Evaluate and monitor ML models from validation to production.
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FLAX github.com
A neural network library for JAX that is designed for flexibility.
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scikit-opt github.com
Heuristic Algorithms for optimization.
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mlflow github.com
Open source platform for the machine learning lifecycle.
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DEAP github.com
Distributed Evolutionary Algorithms in Python.
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shap github.com
A unified approach to explain the output of any machine learning model.
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mlpack github.com
A scalable C++ machine learning library (Python bindings).
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pytorch_geometric github.com
Geometric Deep Learning Extension Library for PyTorch.
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geopandas github.com
Python tools for geographic data.
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MLxtend github.com
Extension and helper modules for Python's data analysis and machine learning libraries.
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cirq github.com
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
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prophet github.com
Automatic Forecasting Procedure.
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trl github.com
Train transformer language models with reinforcement learning.
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torchvision github.com
Datasets, Transforms, and Models specific to Computer Vision.
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networkx github.com
Network Analysis in Python.
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deepchecks github.com
Validation & testing of ML models and data during model development, deployment, and production.
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Optuna github.com
A hyperparameter optimization framework.
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imgaug github.com
Image augmentation for machine learning experiments.
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nltk github.com
Modules, data sets, and tutorials supporting research and development in Natural Language Processing.
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pgmpy github.com
A python library for working with Probabilistic Graphical Models.
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seaborn github.com
Statistical data visualization using matplotlib.
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TensorForce github.com
A TensorFlow library for applied reinforcement learning.
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xLearn github.com
High Performance, Easy-to-use, and Scalable Machine Learning Package.
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StellarGraph github.com
Machine Learning on Graphs.
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TF-Agents github.com
A library for Reinforcement Learning in TensorFlow.
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pytorch_geometric_temporal github.com
Temporal Extension Library for PyTorch Geometric.
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TorchAudio github.com
An audio library for PyTorch.
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CuPy github.com
NumPy-like API accelerated with CUDA.
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Lime github.com
Explaining the predictions of any machine learning classifier.
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great_expectations github.com
Always know what to expect from your data.
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DataComPy github.com
A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.
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cleanlab github.com
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Hamilton github.com
A microframework for dataframe generation that applies Directed Acyclic Graphs specified by a flow of lazily evaluated Python functions.
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Dopamine github.com
A research framework for fast prototyping of reinforcement learning algorithms.
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AutoGluon github.com
AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.
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PyTorch3D github.com
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.
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PyCaret github.com
An open-source, low-code machine learning library in Python.
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cuDF github.com
GPU DataFrame Library.
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feature-engine github.com
Feature engineering package with sklearn-like functionality.
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darts github.com
A python library for easy manipulation and forecasting of time series.
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garage github.com
A toolkit for reproducible reinforcement learning research.
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Pattern github.com
High level scraping for well-establish websites such as Google, Twitter, and Wikipedia. Also has NLP, machine learning algorithms, and visualization
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vaex github.com
Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.
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qiskit github.com
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
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Featuretools github.com
Automated feature engineering.
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pytorch-lightning github.com
PyTorch Lightning is just organized PyTorch.
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InterpretML github.com
InterpretML implements the Explainable Boosting Machine (EBM), a modern, fully interpretable machine learning model based on Generalized Additive Models (GAMs). This open-source package also provides visualization tools for EBMs, other glass-box models, and black-box…
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scikit-surprise github.com
A Python scikit for building and analyzing recommender systems.
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tensorpack github.com
A Neural Net Training Interface on TensorFlow.
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