Data Science
378 items from krzjoa/awesome-python-data-science ★3,613
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boruta_py github.com
Implementations of the Boruta all-relevant feature selection method.
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Phonemizer github.com
Simple text-to-phonemes converter for multiple languages.
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TensorFlow GNN github.com
A library to build Graph Neural Networks on the TensorFlow platform.
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skforecast github.com
Time series forecasting with machine learning models
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PyVarInf github.com
Bayesian Deep Learning methods with Variational Inference for PyTorch.
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MLBox github.com
A powerful Automated Machine Learning python library.
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EnvPool github.com
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
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PySal github.com
Python Spatial Analysis Library.
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stockstats github.com
Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline stock statistics/indicators support.
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MMEngine github.com
OpenMMLab Foundational Library for Training Deep Learning Models.
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pyjanitor github.com
Clean APIs for data cleaning.
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tfdeploy github.com
Deploy TensorFlow graphs for fast evaluation and export to TensorFlow-less environments running numpy.
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dalex github.com
moDel Agnostic Language for Exploration and explanation.
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Jraph github.com
A Graph Neural Network Library in Jax.
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igraph github.com
Python interface for igraph.
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streamsync github.com
No-code in the front, Python in the back. An open-source framework for creating data apps.
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metric-learn github.com
Metric learning algorithms in Python.
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PySwarms github.com
A research toolkit for particle swarm optimization in Python.
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pandasql github.com
Allows you to query pandas DataFrames using SQL syntax.
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sklearn-porter github.com
Transpile trained scikit-learn estimators to C, Java, JavaScript, and others.
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model-analysis github.com
Model analysis tools for TensorFlow.
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SMAC3 github.com
Sequential Model-based Algorithm Configuration.
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luminol github.com
Anomaly Detection and Correlation library.
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adaptive github.com
Tools for adaptive and parallel samping of mathematical functions.
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bottleneck github.com
Fast NumPy array functions written in C.
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Auto Graph Learning github.com
An autoML framework & toolkit for machine learning on graphs.
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SKRL github.com
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym.
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Prodmodel github.com
Build system for data science pipelines.
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fastFM github.com
A library for Factorization Machines.
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KerasCV github.com
Industry-strength Computer Vision workflows with Keras.
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pyYAAFE github.com
Audio features extraction.
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allRank github.com
allRank is a framework for training learning-to-rank neural models based on PyTorch.
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KerasNLP github.com
Modular Natural Language Processing workflows with Keras.
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MAgent2 github.com
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments.
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dask-ml github.com
Distributed and parallel machine learning.
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Shimmy github.com
An API conversion tool for popular external reinforcement learning environments.
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pyFM github.com
Factorization machines in python.
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OpenFE github.com
Automated feature generation with expert-level performance.
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PDPbox github.com
Partial dependence plot toolbox.
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treelite github.com
Universal model exchange and serialization format for decision tree forests.
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anchor github.com
Code for "High-Precision Model-Agnostic Explanations" paper.
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python-ternary github.com
Ternary plotting library for Python with matplotlib.
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tffm github.com
TensorFlow implementation of an arbitrary order Factorization Machine.
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aequitas github.com
Bias and Fairness Audit Toolkit.
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Dplython github.com
Dplyr for Python.
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treeinterpreter github.com
Interpreting scikit-learn's decision tree and random forest predictions.
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pdpipe github.com
Sasy pipelines for pandas DataFrames.
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Jubatus github.com
Framework and Library for Distributed Online Machine Learning.
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vecstack github.com
Python package for stacking (machine learning technique).
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TensorFlow Decision Forests github.com
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
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