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Accord.NET

accord-framework.net

Accord.NET is a .NET machine learning framework combined with audio and image processing libraries written in C#. It covers classification, regression, clustering, distributions, hypothesis tests and kernel methods, with imaging and signal processing components. The framework is intended for building computer vision, audition, signal processing and statistics applications, including commercial use. It offers sample applications, documentation and a wiki.

ACE-Step 1.5

huggingface.co

ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.

Adala

github.com

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Add Features

github.com

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Adept AI provides machine-learning models, research, training resources, or evaluation tools.

A personal blog by Alex Smola titled Adventures in Data Land, covering machine learning topics. Entries include efficient LLM inference tutorials, random projections, effective sample size, voice agents and evaluation, and porting MXNet to Blackwell and Apple Silicon. Posts reference events such as the Machine Learning Summer School 2026 in NYC.

Aeromancy

github.com

Aeromancy is an open-source GitHub repository hosted by quant-aq. It is a framework designed to support reproducible artificial intelligence and machine learning workflows. The project includes documentation, resources for common development commands, and was featured at the SciPy 2024 conference.

Aerosolve

aerosolve.airbnb.tech

Aerosolve is a machine learning package built on the JVM. It provides features such as geo-based features, controllable quantization and feature interaction, and a feature transform language that gives developers control over features. General additive models are used. Scala handles feature training, with a lightweight Java API for run time inference.

A site listing global AI conferences and exhibitions, with live countdowns to events in machine learning, computer vision, robotics and NLP. Entries include dates, locations and links to add each conference to a calendar. The site states that countdowns use a deadline of midnight local time and advises consulting the main conference website for precise timing.

AI Today

pmi.org

AI Today provides machine-learning models, research, training resources, or evaluation tools.

AI Worship Marginal REVOLUTION

marginalrevolution.com

AI Worship Marginal REVOLUTION provides machine-learning models, research, training resources, or evaluation tools.

ai-evaluation

github.com

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Ai2 Playground

playground.allenai.org

Ai2 Playground provides machine-learning models, research, training resources, or evaluation tools.

AIF360

github.com

AIF360, or AI Fairness 360, is a comprehensive toolkit that provides fairness metrics for datasets and machine learning models. It includes explanations for these metrics and algorithms to mitigate bias in data and models. The project is developed by the Trusted-AI community on GitHub.

AIlice

github.com

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Alibi

github.com

Alibi is an open-source project that provides algorithms for explaining machine learning models. Developed by SeldonIO and hosted on GitHub, it includes installation and usage documentation for pip and conda.

Ambrosia

github.com

Ambrosia is a cross-platform command line tool written in Go for improving text datasets used in machine learning. It offers fast deduplication, filtering, length checking and whitespace trimming, plus an LLM-based filtering option called psort. It ships as a single binary with no dependencies and is pre-1.0 software.

AMIDST Toolbox

amidsttoolbox.com

A Java Toolbox for Scalable Probabilistic Machine Learning.

APIDNA

apidna.ai

APIDNA provides machine-learning models, research, training resources, or evaluation tools.

Applied ML

github.com

Applied ML is a curated collection of papers, articles and blogs about data science and machine learning in production, organized under topics such as data quality, recommendation, search and ranking, and MLOps. It is licensed under MIT and covers how organizations frame problems and which techniques worked.

Auto ML

github.com

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

AutoGL

github.com

AutoML framework & toolkit for machine learning on graphs.

AutoGluon

github.com

Automated machine learning for image, text, tabular, time-series, and multi-modal data.

Automata

github.com

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.