Kernel
21 items across the graph — tagged with Kernel.
From the graph · 21
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Astrid is a portable, capability-secure operating system for composable software.
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
Find zero-days while you sleep. DeepZero is an automated vulnerability research framework that parses, decompiles, and analyzes thousands of Windows kernel driv…
Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
Kernel Tuner
Rust + CUDA inference engine for NVIDIA RTX PRO 6000 Blackwell and RTX 5090. Serves safetensors and GGUF over an OpenAI-compatible API, with per-device tuned de…
A light llama-like llm inference framework based on the triton kernel.
TPP experimentation on MLIR for linear algebra
Generating Efficient AI-Centric Kernels
AI-enhanced computational chemistry
Modular Python SDK and monorepo for AI agents, LLM integrations, tools, parsers, embeddings, vector stores, and extensible application workflows.
Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural network models (and their in…
The AI-friendly C23 compiler for security research, built on LLVM [WIP]
🗺️ 🧭 Explore complex software projects like the Linux Kernel or any arbitrary git repository
[ISSTA 2025] Unlocking Low Frequency Syscalls in Kernel Fuzzing with Dependency-Based RAG
High-performance GPU kernels for LLM inference in OpenAI Triton. Fused RMSNorm, SwiGLU, INT8 GEMM with benchmarks and roofline analysis.
AI Agent eBPF optimization benchmark and framework