Search results

Framework to connect a flow of ML models by applying graph theory.

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

Easy-to-use, scalable hyperparameter optimization framework.

Kubernetes custom resource definition for serving ML models on arbitrary frameworks.

Koç University Deep Learning Framework.

Deep learning framework written in Kotlin.

kyrolabs/awesome-langchain

github.com

😎 Awesome list of tools and project with the awesome LangChain framework.

A lightweight framework for building LLM-based agents.

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.

LlamaIndex is a data framework for your LLM applications.

A data framework for building LLM applications over external data.

LLMFlows

github.com

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.