Machine Learning

Used for automatically finding the best machine learning model and its parameters.

PyCaret - An open source, low-code machine learning library in Python.

Used to build, optimize, and manage their machine learning workflows.

Used to build and run machine learning workflows upon the Azure Machine Learning service.

A distributed system to learn embeddings of large graphs

flogging nice logging formatting and structured logging.

Supercharging Machine Learning

API and data structures for efficient AI research.

Continuous control environments and MuJoCo Python bindings.

A machine learning toolkit dedicated to time-series data

CUDA nvcc

A python template

NeMo - a toolkit for Conversational AI

Reversible Data Transforms

TensorFlow Estimator.

A Python interface for Reinforcement Learning environments.

PyGlove: A library for manipulating Python objects.

Augment Beancount importers with machine learning functionality.

Megatron Core - a library for efficient and scalable training of transformer based models

Gin-Config: A lightweight configuration library for Python

Azure Machine Learning Feature Store SDK

ClearML - Auto-Magical Experiment Manager, Version Control, and MLOps for AI

IBM watsonx.ai API Client

This package is intended to provide a uniform schema for common machine learning applications, as well as a set of decorators that can be used to aid in web based ML prediction applications.

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor

Converts Machine Learning models to ONNX

daal4py is a Convenient Python API to the Intel® oneAPI Data Analytics Library (oneDAL)

TensorFlow is an open source machine learning framework for everyone.

TensorFlow Addons.

IBM Watson Machine Learning API Client

A Python library for probabilistic modeling and inference

Vowpal Wabbit Python package

✂️ Fast slice finding for Machine Learning model debugging.

Fit interpretable models. Explain blackbox machine learning.

Collection of training and inference decision forest algorithms.

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Synapse Machine Learning

Generic API for dispatch to Pyro backends.

Debug machine learning classifiers and explain their predictions

H2O, Fast Scalable Machine Learning, for python

ClearML Agent - Auto-Magical DevOps for Deep Learning

Machine Learning Orchestration

simple library to manage a dataset of shards to train machine learning models

A collection of chemoinformatics and machine-learning software written in C++ and Python

TensorFlow IO

Used for automatically finding the best machine learning model and its parameters.

Acquisition and real-time processing of biosignals

An open-source NLP research library, built on PyTorch.

A toolkit for making real world machine learning and data analysis applications