EvoAgentX is building a Self-Evolving Ecosystem of AI Agents, it will give you automated framework for evaluating and evolving agentic workflows.
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Quickly understand inscrutable LLM frameworks by intercepting API calls.
Industrial Grade Federated Learning Framework.
AutoML framework for the design of composite pipelines.
Ignite your models into blazing-fast machine learning APIs with a modern framework.
Friendly Federated Learning Framework.
Open-source project that uses AI to create, edit, transform, or animate video content.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
Hyperparameter optimization framework, inspired by Optuna.
Generate your full-stack React, Node.js and Prisma web app using the magic of GPT and the Wasp full-stack framework.
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.