Lists (17)
Starred repositories
MSLK (Meta Superintelligence Labs Kernels) is a collection of PyTorch GPU operator libraries that are designed and optimized for GenAI training and inference, such as FP8 row-wise quantization and …
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
A massively parallel, high-level programming language
宝藏问题：汇总了大模型的重要资源，整理了宝藏问题手稿，宝藏论文参考文献
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
Suckless no dependencies CUDA/C++ port of NVIDIA's DVLT, feed it images, get a 3D point cloud + camera poses. NO python. One fast 5MB binary.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, an…
Verifying concurrent storage and distributed systems
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Remote Sensing data - Earth observation data
A Python DSL to write Nvidia PTX for Hopper and Blackwell in JAX and PyTorch
SpecTrax is a JAX-native library for neural networks and graph learning, built for performance, composability and modularity.
Library for reducing tail latency in RAM reads
CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.
Code for the papers: “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling” and “Adaptive Block-Scaled Data Types”
Region-level profiling for CUDA kernels with trace, NVBit, CUPTI, NSys, and an interactive Explorer.
GPU Cluster Monitoring (GCM): Large-Scale AI Research Cluster Monitoring
reading the undocumented mems accelerometer + gyroscope on apple silicon macbooks via iokit hid
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode
Official Project Page for Deep Delta Learning (https://arxiv.org/abs/2601.00417)