Machine Learning

Microsoft Azure Machine Learning Python client library

Machine Learning with Interpretable Rules

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

Online machine learning in Python

The Parameterization Framework

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

Distrax: Probability distributions in JAX.

LiteRT is for mobile and embedded devices.

Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features

TorchX SDK and Components

a data typing library for machine learning

Azure Machine Learning Component SDK

Contrib package of Stable Baselines3, experimental code.

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

A curated collection of datasets for data analysis & machine learning, downloadable with a single Python command

A Python 3 library for sci-kit learn, XGBoost, LightGBM, Spark, and TensorFlow decision tree visualization

Transform any CSV into a production-ready ML model in minutes, not months.

Client for codeflash.ai - automatic code performance optimization, powered by AI

Machine learning and optimization for dynamic systems

Skforecast is a Python library for time series forecasting using machine learning models. It works with any regressor compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.

Feature selection using statistical significance of shap values

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions

Packaged version of the Yolov5 object detector

More Data Science, Less Administration

Causal models in Python

The Howso Engine™ is a natively and fully explainable ML engine, serving as an alternative to black box AI neural networks.

A library that implements optionally monotonic lattice based models.

TensorFlow is an open source machine learning framework for everyone.

Python Machine Learning Client for SAP HANA

Spello: Fast and Smart Spell Correction

A DirectML backend for hardware acceleration in PyTorch.

Tracking and config of machine learning runs

Amazon SageMaker Debugger is an offering from AWS which helps you automate the debugging of machine learning training jobs.

Package to easily import datasets from the UC Irvine Machine Learning Repository into scripts and notebooks.

Microsoft Azure Machine Learning Services Management Client Library for Python

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

Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms

Flower: A Friendly Federated AI Framework

A Python wrapper for the Penn Machine Learning Benchmark data repository.

NVIDIA cuTENSOR

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.

A library for maintaining metadata for artifacts.

With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.

Azure Machine Learning Feature Store SDK

Python implementation of the Riva Client API

Machine Learning Orchestration

Type stubs for Python machine learning libraries

TensorFlow Addons.

TensorFlow Lite is for mobile and embedded devices.

A kedro-plugin to use mlflow in your kedro projects