Lists (3)
Stars
The open-source AI platform for enterprises that can't send data to the cloud. OpenAI-compatible API, full management dashboard, zero data egress.
A curated list of best cuda programming books
A vector index built on TurboQuant, written in Rust with Python bindings
Long Context Pre-Training with Lighthouse Attention
nocode is a lightweight agentic coding terminal built in python for kvboost
ROS2 Jazzy + Gazebo Harmonic simulator for Formula Student Driverless — procedural FSG track generation, terminal control panel (TUI), and a full sensor suite (LiDAR, camera, IMU, GPS).
Create polished demo videos without editing skills. Mac/Windows/Linux
eLLM can infer LLM on CPUs faster than on GPUs
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
Make local LLM inference faster with chunk-level KV cache reuse
Minimal kernel to make any AI coding agent stateful. Clone, point your agent, go.
Generate beautiful Manim animations using AI. Describe what you want to animate, and the system generates the code and renders it.
Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up…
Hundreds of models & providers. One command to find what runs on your hardware.
Pulumi - Infrastructure as Code in any programming language 🚀
Production-grade Rust-native trading engine with deterministic event-driven architecture
Shannon Lite is an autonomous, white-box AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities bef…
Agent-RRM: Exploring Reasoning Reward Model for Agents
AirLLM 70B inference with single 4GB GPU
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
An open-source background agents coding system
Lightweight coding agent that runs in your terminal
A production-quality terminal-based profiling tool that diagnoses GPU performance bottlenecks in PyTorch models.
A 3D racing game built with ClojureScript, React and ThreeJS
A self-study for CUDA principles from 0 to 1
A deterministic MLX graph compiler with legality-first operator fusion, cost-model–guided region formation, and a backend for AI-generated kernel synthesis.
Harmful-prompt geometry using the ClearHarm dataset and TransformerLens
A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do