Hyperparameter optimization framework, inspired by Optuna.
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Generate your full-stack React, Node.js and Prisma web app using the magic of GPT and the Wasp full-stack framework.
Framework that allows for the distributed processing of large data sets across clusters.
A scalable general purpose micro-framework for defining dataflows.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
An open-source multi-agent framework with auto-generated graphs, evolution loops, and MCP integration. opensource.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Framework for distributed hyperparameter optimization.
A framework for elegantly configuring complex applications.
General Automated Machine Learning Framework.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
😎 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.