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Auto-PyTorch is an open-source Python AutoML framework that searches neural-network architectures and training hyperparameters for deep-learning tasks.
Guide: Install Auto-PyTorch for tabular workA public, CC0-licensed GitHub repository that indexes and packages reusable autonomous-research skills, agents, systems, benchmarks, and curated lists.
Guide: Set up the curated research repositoryauto-co is a terminal-based workflow that repeatedly invokes Claude Code and coordinates role-based AI agents to make software decisions and carry out development tasks.
Guide: Set up an auto-co projectAutoact is an open-source Python research framework for learning question-answering agents through self-planning, tool selection and synthesized planning trajectories.
Guide: Install the Autoact repository and prepare for experimentsAutobahn is an open-source Solana swap aggregator and router.
Guide: Start the self-hosted router from a configuration fileAutocrop is a Python library and command-line tool that uses OpenCV’s YuNet face detector to crop images around the largest detected face.
Guide: Batch-crop JPG and PNG images with shell toolsAutodistill is an open-source Python library and plugin framework for generating image labels with foundation models and using the resulting datasets to train supervised computer-vision models.
Guide: Create a labeled dataset and train a YOLOv8 modelAutoE2E is an open-source end-to-end autonomous-driving model that predicts a future driving trajectory from seven surround and telephoto cameras, a rendered map tile, ego-motion and visual history.
Guide: Install AutoE2E dependencies with MakeAn open-source web-oriented Graph RAG knowledge-base application built with TypeScript, TiDB Vector, LlamaIndex and DSPy.
Autoformer is an open-source deep-learning model and code release for long-term time-series forecasting, built around progressive trend-seasonal decomposition and a series-wise Auto-Correlation mechanism.
Guide: Set up the documented benchmark workflowAutogen is a Python programming framework for building and coordinating agentic AI systems. It is a developer-oriented project rather than a ready-made end-user service.
AutoGEO is an open-source Python framework for optimizing web documents for visibility in large-language-model-generated answers.
Guide: Install AutoGEO for rule extraction and rewritingAutoGL is an open-source Python framework and toolkit for automated machine learning on graph datasets and tasks, with modules for feature engineering, graph neural network models, neural architecture search, hyperparameter optimization and ensembles.
Guide: Install AutoGL from pipAutogluon is an open-source Python machine-learning library that automates model training, selection and optimization for tasks including tabular prediction, time-series forecasting, computer vision, natural-language processing, deep learning and multimodal prediction.
An open-source TypeScript command-line coding agent that runs in a terminal and can plan, edit, test and automate work across a codebase.
Guide: Build and install Autohand Code CLI from the repositoryAutoharness is an open-source Python framework that adds governance and supporting infrastructure around AI agents, including context and token-budget management, tool-call validation, permission checks, risk classification, output sanitisation, cost attribution, session persistence, multi-agent profiles and JSONL audit logging.
Guide: Set up Autoharness around an OpenAI clientAutointent is an open-source Python library for automatically configuring text-classification pipelines that predict intents from text. It provides reusable fit-predict methods and an AutoML workflow based on labeled data.
Guide: Set up and fit an intent-classification pipelineAutokernel is a C++ toolset that uses Halide to generate low-level neural-network operator implementations, search for optimized schedules on CPU and GPU, and integrate generated operators into Tengine.
Guide: Start the AutoKernel CUDA Docker environment