Data Science
378 items from krzjoa/awesome-python-data-science ★3,613
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pymoo github.com
Multi-objective Optimization in Python.
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Reproducible Experiment Platform (REP) github.com
Machine Learning toolbox for Humans.
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HoloViews github.com
Stop plotting your data - annotate your data and let it visualize itself.
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AI Fairness 360 github.com
Fairness metrics for datasets and ML models, explanations, and algorithms to mitigate bias in datasets and models.
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ELI5 github.com
A library for debugging/inspecting machine learning classifiers and explaining their predictions.
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POT github.com
Python Optimal Transport library.
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sklearn-pandas github.com
pandas integration with sklearn.
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scikit-optimize github.com
Sequential model-based optimization with a scipy.optimize interface.
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pystruct github.com
Simple structured learning framework for Python.
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Ax github.com
Adaptive Experimentation Platform.
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nnabla github.com
Neural Network Libraries by Sony.
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TensorFlow Ranking github.com
Learning to Rank in TensorFlow.
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Alibi github.com
Algorithms for monitoring and explaining machine learning models.
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swifter github.com
A package that efficiently applies any function to a pandas dataframe or series in the fastest available manner.
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NumExpr github.com
A fast numerical expression evaluator for NumPy that comes with an integrated computing virtual machine to speed calculations up by avoiding memory allocation for intermediate results.
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Auto-PyTorch github.com
Automatic architecture search and hyperparameter optimization for PyTorch.
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Decord github.com
An efficient video loader for deep learning with smart shuffling that's super easy to digest.
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qkeras github.com
A quantization deep learning library.
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twitterscraper github.com
Efficient library to scrape Twitter
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pyhsmm github.com
Bayesian inference in HSMMs and HMMs.
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modAL github.com
Modular active learning framework for Python3.
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Optax github.com
A gradient processing and optimization library for JAX.
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Tangent github.com
Source-to-Source Debuggable Derivatives in Pure Python.
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nlopt github.com
Library for nonlinear optimization (global and local, constrained or unconstrained).
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rlpyt github.com
Reinforcement Learning in PyTorch.
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dataprep github.com
Collect, clean, and visualize your data in Python with a few lines of code.
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envd github.com
🏕️ machine learning development environment for data science and AI/ML engineering teams.
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PyGAD github.com
Genetic Algorithm in Python.
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PyFlux github.com
Open source time series library for Python.
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sklearn-expertsys github.com
Highly interpretable classifiers for scikit learn.
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TensorFlow Recommenders github.com
A library for building recommender system models using TensorFlow.
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NGBoost github.com
Natural Gradient Boosting for Probabilistic Prediction.
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RuleFit github.com
Implementation of the rulefit.
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datatable github.com
Data.table for Python.
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sklearn-crfsuite github.com
A scikit-learn-inspired API for CRFsuite.
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greykite github.com
A flexible, intuitive, and fast forecasting library next.
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pyLDAvis github.com
Visualize interactive topic model
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Imitation github.com
Clean PyTorch implementations of imitation and reward learning algorithms.
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AI Explainability 360 github.com
Interpretability and explainability of data and machine learning models.
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scikit-rebate github.com
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
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madmom github.com
Python audio and music signal processing library.
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prettyplotlib github.com
Painlessly create beautiful matplotlib plots.
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Distributed github.com
Distributed computation in Python.
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d3rlpy github.com
An offline deep reinforcement learning library.
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ydata-synthetic github.com
A package to generate synthetic tabular and time-series data leveraging the state-of-the-art generative models.
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sklearn-genetic-opt github.com
Hyperparameters tuning and feature selection using evolutionary algorithms.
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scikit-posthocs github.com
Pairwise Multiple Comparisons Post-hoc Tests.
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Metrics github.com
Machine learning evaluation metric.
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Feature Forge github.com
A set of tools for creating and testing machine learning features.
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boruta_py github.com
Implementations of the Boruta all-relevant feature selection method.
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