Description
scikit-learn is a Python module for machine learning built on top of
SciPy and distributed under the 3-Clause BSD license.
The project was started in 2007 by David Cournapeau as a Google Summer
of Code project, and since then many volunteers have contributed. See
the AUTHORS.rst file for a complete list of contributors.
It is currently maintained by a team of volunteers.
scikit-learn alternatives and similar packages
Based on the "Machine Learning" category.
Alternatively, view scikit-learn alternatives based on common mentions on social networks and blogs.
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tensorflow
An Open Source Machine Learning Framework for Everyone -
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow -
gym
A toolkit for developing and comparing reinforcement learning algorithms. -
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit -
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署) -
Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. -
TFLearn
Deep learning library featuring a higher-level API for TensorFlow. -
NuPIC
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex. -
H2O
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. -
Pyro.ai
Deep universal probabilistic programming with Python and PyTorch -
dspy
DSPy: The framework for programming—not prompting—foundation models -
Surprise
A Python scikit for building and analyzing recommender systems -
LightFM
A Python implementation of LightFM, a hybrid recommendation algorithm. -
Pylearn2
Warning: This project does not have any current developer. See bellow. -
skflow
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning -
Sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA. -
Clairvoyant
Software designed to identify and monitor social/historical cues for short term stock movement -
python-recsys
A python library for implementing a recommender system -
Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave -
karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) -
awesome-embedding-models
A curated list of awesome embedding models tutorials, projects and communities. -
Crab
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib). -
seqeval
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...) -
adaptive
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions -
Xorbits
Scalable Python DS & ML, in an API compatible & lightning fast way. -
TrueSkill, the video game rating system
An implementation of the TrueSkill rating system for Python -
SciKit-Learn Laboratory
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. -
rwa
Machine Learning on Sequential Data Using a Recurrent Weighted Average -
Feature Forge
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API -
Data Flow Facilitator for Machine Learning (dffml)
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease. -
brew
Multiple Classifier Systems and Ensemble Learning Library in Python. -
bodywork
ML pipeline orchestration and model deployments on Kubernetes. -
Robocorp Action Server
Create 🐍 Python AI Actions and 🤖 Automations, and deploy & operate them anywhere -
MLP Classifier
A handwritten multilayer perceptron classifer using numpy. -
OptaPy
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems. -
vowpal_porpoise
lightweight python wrapper for vowpal wabbit -
omega-ml
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle -
ChaiPy
A developer interface for creating advanced chatbots for the Chai app.
WorkOS - The modern identity platform for B2B SaaS
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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