Machine Learning

ModelDB tracks machine learning model versions, metadata, and experiments.

A tool to help you configure, organize, log and reproduce experiments.

Alibi explains machine learning model predictions through a set of algorithms.

Kedro helps create reproducible, maintainable, and modular data science and data engineering pipelines.

CSRankings lists computer science research rankings and accepts support from visitors.

MITIE provides a library and tools for extracting information from text.

DeepLearning.AI offers online courses and learning programs for people studying or building AI.

Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.

Deep Learning Drizzle collects readings and notes about deep learning for study.

A Python-inspired implementation of the Optimum-Path Forest classifier.

Infer.NET runs Bayesian inference in graphical models for a range of machine learning problems.

autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.

Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.

Python library for decision tree visualization and model interpretation.

Cortex provides cloud infrastructure for deploying, managing, and scaling machine learning models in production.

Ludwig provides a low code framework for building custom LLMs, neural networks, and other AI models.

Replicate provides a cloud API for running and fine-tuning open machine learning models and deploying custom models.

Polyaxon describes its repository as infrastructure for AI orchestration and control.

Build machine learning applications with Delta, an open-source framework implemented in Rust.

This podcast covers data science at home, with episodes about machine learning, artificial intelligence, and algorithms.

LangKit monitors language model prompts and responses and extracts signals related to safety and security.

The goro project provides a high level machine learning library written for Go.

The EarthScope Consortium operates the NSF National Geophysical Facility and supports geophysical research, training, and field work.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library.