A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
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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.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
Ultra-lightweight personal AI assistant framework (~4,000 lines of Python). Supports MCP, 9+ chat channels, and extensible skills system.
Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
The most lightweight experiment management tool that fits any workflow.
Neuroph is lightweight Java neural network framework.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Lightweight Bash scripts that enhance your terminal coding workflow with web-based AI assistants like Claude or Grok.
The lightweight PyTorch wrapper for high-performance AI research.
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Creates or edits images with generative models and visual controls.