A lightweight framework for building LLM-based agents.
Directory
Search results
Published directory entries matching your search.
FastAPI framework to build production-grade LLM applications.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
PyTorch Meta-learning Framework for Researchers.
Lightly is a computer vision framework for self-supervised learning.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
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.
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.