Data Science
378 items from krzjoa/awesome-python-data-science ★3,613
-
quaternion github.com
Add built-in support for quaternions to numpy.
-
Platypus github.com
A Free and Open Source Python Library for Multiobjective Optimization.
-
Solid github.com
A comprehensive gradient-free optimization framework written in Python.
-
recmetrics github.com
Library of useful metrics and plots for evaluating recommender systems.
-
tick github.com
Module for statistical learning, with a particular emphasis on time-dependent modeling.
-
Cleora github.com
The Graph Embedding Engine.
-
pandas_summary github.com
Extension to pandas dataframes describe function.
-
stacked_generalization github.com
Library for machine learning stacking generalization.
-
pandas-gbq github.com
pandas Google Big Query.
-
dopanda github.com
Hints and tips for using pandas in an analysis environment.
-
Optunity github.com
Is a library containing various optimizers for hyperparameter tuning.
-
Marsyas github.com
Music Analysis, Retrieval, and Synthesis for Audio Signals.
-
meza github.com
A Python toolkit for processing tabular data.
-
animatplot github.com
A python package for animating plots built on matplotlib.
-
Machin github.com
A reinforcement library designed for pytorch.
-
scikit-tensor github.com
Python library for multilinear algebra and tensor factorizations.
-
CapsNet-Visualization github.com
A visualization of the CapsNet layers to better understand how it works.
-
FairML github.com
FairML is a python toolbox auditing the machine learning models for bias.
-
PyStan github.com
Bayesian inference using the No-U-Turn sampler (Python interface).
-
skpro github.com
Supervised domain-agnostic prediction framework for probabilistic modelling by The Alan Turing Institute.
-
sklearn-genetic github.com
Genetic feature selection module for scikit-learn.
-
SciPy scipy.org
Fundamental algorithms for scientific computing in Python
-
Neptune neptune.ai
A lightweight ML experiment tracking, results visualization, and management tool.
-
numdifftools github.com
Solve automatic numerical differentiation problems in one or more variables.
-
GPflowOpt github.com
Bayesian Optimization using GPflow.
-
pysparkling github.com
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
-
zoofs github.com
A feature selection library based on evolutionary algorithms.
-
imbalanced-algorithms github.com
Python-based implementations of algorithms for learning on imbalanced data.
-
muda github.com
A library for augmenting annotated audio data.
-
scikit-rvm github.com
Relevance Vector Machine implementation using the scikit-learn API.
-
skift github.com
Scikit-learn wrappers for Python fastText.
-
LibXtract github.com
A simple, portable, lightweight library of audio feature extraction functions.
-
BoostARoota github.com
A fast xgboost feature selection algorithm.
-
Stacking github.com
Simple and useful stacking library written in Python.
-
pandas-log github.com
A package that allows providing feedback about basic pandas operations and finds both business logic and performance issues.
-
QML github.com
A Python Toolkit for Quantum Machine Learning.
-
Dataset github.com
Helps you conveniently work with random or sequential batches of your data and define data processing.
-
pandas-ply github.com
Functional data manipulation for pandas.
-
bayesloop github.com
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
-
karoo_gp github.com
A Genetic Programming platform for Python with GPU support.
-
PyCEbox github.com
Python Individual Conditional Expectation Plot Toolbox.
-
SafeOpt github.com
Safe Bayesian Optimization.
-
PyTorch Geometric Signed Directed github.com
A signed/directed graph neural network extension library for PyTorch Geometric.
-
InferPy github.com
Deep Probabilistic Modelling Made Easy.
-
physt github.com
Improved histograms.
-
scikit-mdr github.com
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
-
L2X github.com
Code for replicating the experiments in the paper Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.
-
themis-ml github.com
A library that implements fairness-aware machine learning algorithms.
-
monkeys github.com
A strongly-typed genetic programming framework for Python.
-
weightedcalcs github.com
A pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
- next page of items loading…