Machine Learning

Experiments logger for ML projects.

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

Reversible Data Transforms

Pytorch version of Stable Baselines, implementations of reinforcement learning algorithms.

A Python interface for Reinforcement Learning environments.

Continuous control environments and MuJoCo Python bindings.

A suite of visual analysis and diagnostic tools for machine learning.

A machine learning toolkit dedicated to time-series data

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

Fit interpretable models. Explain blackbox machine learning.

A Python library for probabilistic modeling and inference

TensorFlow is an open source machine learning framework for everyone.

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

A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution.

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

Generic API for dispatch to Pyro backends.

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

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

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

✂️ Fast slice finding for Machine Learning model debugging.

Azure Machine Learning inferencing server.

NVJPEG native runtime libraries

A distributed system to learn embeddings of large graphs

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.

A Python package for creating feature transformations in applications of machine learning to materials science.

Collection of training and inference decision forest algorithms.

The Parameterization Framework

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

TensorFlow Estimator.

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

Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

IBM Watson Machine Learning API Client

Is a metapackage that is used internally by Azure Machine Learning

IBM watsonx.ai API Client

This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers.

Converts Machine Learning models to ONNX

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

H2O, Fast Scalable Machine Learning, for python

Set of libraries for ML training loops in JAX.

A Rust-based Statistics and ML package, callable from Python.

Azure Machine Learning Feature Store SDK

ClearML Agent - Auto-Magical DevOps for Deep Learning

Scalable machine learning based time series forecasting

Fit interpretable models. Explain blackbox machine learning.

Pyro PPL on NumPy

Supercharging Machine Learning

Kedro-Viz helps visualise Kedro data and analytics pipelines

TensorFlow-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow

A library for exploring and validating machine learning data.

A library for maintaining metadata for artifacts.