scikit-learn: machine learning in Python
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Apache Spark - A unified analytics engine for large-scale data processing
Predictive AI layer for existing databases.
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.
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
A toolkit for developing and comparing reinforcement learning algorithms.
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
💡 Learnergy is a Python library for energy-based machine learning models.
Lucid library adapted for PyTorch
License: Apache License 2.0
The world's simplest facial recognition api for Python and the command line
Game Agent Development Kit. Helping you create AIs / Bots to play any game you own!
NeuPy is a Python library for Artificial Neural Networks and Deep Learning.
lightweight python wrapper for vowpal wabbit
PyTorch implementation of neural style transfer algorithm
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.