Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

Minimal agent runtime built with DSPy modules and a thin Python loop. Includes CLI, FastAPI server, and eval harness with OpenAI/Ollama support.

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

DRL-Cache is an NGINX dynamic module + a tiny inference sidecar. When space is needed, the module asks a 4–8 KB dueling-DQN policy which LRU-tail object(s) to evict. If the sidecar doesn’t reply in…

🤖🌊 aiFlows: The building blocks of your collaborative AI

A Bulletproof Way to Generate Structured JSON from Language Models

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

A suite of image and video neural tokenizers

PyTorch implementation of Contrastive Learning methods

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about demo…

Infinite Photorealistic Worlds using Procedural Generation

A curated list of awesome Go frameworks, libraries and software

A playground of highly experimental prompts, Jinja2 templates & scripts for machine intelligence models from OpenAI, Anthropic, DeepSeek, Meta, Mistral, Google, xAI & others. Alex Bilzerian (2022-2…

Official repository for "Scaling Retrieval-Based Langauge Models with a Trillion-Token Datastore".

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

List of startups doing AI & ML

[NeurlPS 2024] One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

an ambient intelligence library

Entropy Based Sampling and Parallel CoT Decoding

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

Federated Query Engine for AI - The only MCP Server you'll ever need

A curated list of awesome responsible machine learning resources.

A curated list of Large Language Model (LLM) Interpretability resources.

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Ecne: An engine for verifying the soundness of R1CS constraints