Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
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Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
A lightweight framework for data analysis in JavaScript.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
An open source machine learning framework in Rust Δ.
Framework to create ChatGPT like bots over your dataset.
EvoAgentX is building a Self-Evolving Ecosystem of AI Agents, it will give you automated framework for evaluating and evolving agentic workflows.
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.
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 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.