LlamaIndex is a data framework for your LLM applications.
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A data framework for building LLM applications over external data.
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
A Evolve Agent Development Framework. From atomic components and development frameworks to core scenario Agents.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
A framework for Claude Opus to intelligently orchestrate subagents.
Distributed linear algebra framework and mathematically expressive Scala DSL.
A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
TypeScript-native AI agent framework for web developers. Workflow automation with typed tools and integrations. MIT.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
Flexible Deep Learning Framework in Julia.
The Multi-Agent Framework: Given one line requirement, return PRD, design, tasks, repo.
The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo.
A distributed machine learning framework Apache Spark.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
A Julia machine learning framework.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
A modular active learning framework for Python, built on top of scikit-learn.
Framework that implements AutoML algorithms for model architecture search at scale.
An open source, serverless framework for building intelligent agents and APIs in Go or AssemblyScript (a TypeScript-like language).
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.