Lightly is a computer vision framework for self-supervised learning.
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Deep learning framework to train, deploy, and ship AI products Lightning fast.
A curated list of AI market maps from 2026, 2025, and 2024, by Joy Larkin.
Curriculum via Metro map provides AI-assisted learning, courses, tutorials, or study support.
Tmap for visualizing geospatial data with static maps and for interactive maps.
MapLight offers data series about federal campaign finance and bills in Congress, for research and media organizations.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Lightweight, extensible data validation library for Python.
A lightweight framework for data analysis in JavaScript.
A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
A lightweight set of tools for loading and sharing data in data science projects.
A lightweight framework for building LLM-based agents.
Lightweight library to build and train neural networks in Theano.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Pretrain computer vision models on unlabeled data for industrial applications.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Supports software work with AI-assisted coding, testing or application development.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.