Popular GitHub Repositories for Discovery Service

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

The Cloud-Native API Gateway and AI Gateway

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

? Scalable embedding, reasoning, ranking for images and sentences with CLIP

ModelScope: bring the notion of Model-as-a-Service to life.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.

Firebase SDK for Apple App Development

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Install, run and deploy your own decentralized AI agent service

Standardized Serverless ML Inference Platform on Kubernetes

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

The ops and reference implementation for Apache Dubbo.

Control GenAI interactions with power, precision, and consistency using LLM-native Conversation Design paradigms

Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..