Owner
NVIDIA
266 indexed repositories · View on GitHub
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SkillSpector
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, an...
Python · 23208 stars
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NemoClaw
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
TypeScript · 22875 stars
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OpenShell
OpenShell is the safe, private runtime for autonomous AI agents.
Rust · 20646 stars
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Megatron-LM
Ongoing research training transformer models at scale
Python · 18292 stars
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open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
C · 17529 stars
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TensorRT-LLM
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat...
Python · 14969 stars
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TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone...
C++ · 13421 stars
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cosmos
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomou...
12199 stars
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cutlass
CUDA Templates and Python DSLs for High-Performance Linear Algebra
C++ · 10673 stars
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cudf
cuDF - GPU DataFrame Library
C++ · 9784 stars
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garak
the LLM vulnerability scanner
Python · 9764 stars
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cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
C++ · 9731 stars
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apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Python · 9003 stars
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Isaac-GR00T
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
Python · 8288 stars
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warp
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Python · 7255 stars
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DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear...
C++ · 5787 stars
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Model-Optimizer
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative...
Python · 5463 stars
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cuml
NVIDIA cuML: GPU-Accelerated Machine Learning
Python · 5313 stars
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nccl
Optimized primitives for collective multi-GPU communication
C++ · 5190 stars
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nvidia-container-toolkit
Build and run containers leveraging NVIDIA GPUs
Go · 4601 stars
- 246 more repositories live on View on GitHub
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? - Needs Triage bug CuTe DSL
Difficulty 5/5 Over a week Newbie friendliness 12/100
NVIDIA/cutlass#3811 · 1 comment ·
Maintainers usually reply within 4 days
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Difficulty 2/5 1-3 hours Newbie friendliness 82/100
NVIDIA/physicsnemo#2214 ·
Maintainers usually reply within 2 days
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Difficulty 5/5 Over a week Newbie friendliness 12/100
Maintainers usually reply within 8 days
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bug needs-triage
Difficulty 4/5 3-5 days Newbie friendliness 14/100
NVIDIA/gpu-operator#3155 ·
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
NVIDIA/cudnn-frontend#2122 ·
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Difficulty 3/5 Half a day Newbie friendliness 55/100
NVIDIA/kumo-engine#148 ·
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Difficulty 4/5 3-5 days Newbie friendliness 30/100
NVIDIA/open-gpu-kernel-modules#1507 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 85/100
NVIDIA/NeMo-Agent-Toolkit#2534 ·
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feature request
Difficulty 5/5 Over a week Newbie friendliness 12/100
Maintainers usually reply within 3 days
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Difficulty 5/5 Over a week Newbie friendliness 22/100
Maintainers usually reply within 1 day
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state:triage-needed
Difficulty 3/5 1-2 days Newbie friendliness 72/100
NVIDIA/OpenShell#5094 · 2 comments ·
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Difficulty 4/5 3-5 days Newbie friendliness 18/100
NVIDIA/torch-harmonics#337 · 1 comment ·
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 18/100
NVIDIA/nccl#2540 · 2 comments ·
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Difficulty 1/5 Under an hour Newbie friendliness 85/100
NVIDIA/NeMo-Agent-Toolkit#2531 · 1 comment ·
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Difficulty 4/5 3-5 days Newbie friendliness 52/100
Maintainers usually reply within 1 day
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Difficulty 2/5 1-3 hours Newbie friendliness 85/100
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Difficulty 2/5 1-3 hours Newbie friendliness 74/100
Maintainers usually reply within 1 day
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Difficulty 5/5 Over a week Newbie friendliness 35/100
Maintainers usually reply within 1 day
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partial `#[unroll(N)]` for runtime-step loops (`i += blockDim.x`), or forward the request to LLVMOpen
Difficulty 5/5 Over a week Newbie friendliness 35/100
Maintainers usually reply within 1 day
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
Maintainers usually reply within 1 day
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
Maintainers usually reply within 1 day
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Difficulty 2/5 1-2 days Newbie friendliness 68/100
Maintainers usually reply within 1 day
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Difficulty 4/5 3-5 days Newbie friendliness 55/100
Maintainers usually reply within 1 day
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Difficulty 5/5 Over a week Newbie friendliness 12/100
NVIDIA/spark-local-inference#160 ·
Maintainers usually reply within 1 day
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MonoOpen
Difficulty 5/5 Over a week Newbie friendliness 3/100
NVIDIA/flashdreams#774 · 1 comment · 1 reaction ·
Maintainers usually reply within 1 day
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Difficulty 5/5 Over a week Newbie friendliness 30/100
Maintainers usually reply within 1 day
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Difficulty 1/5 Under an hour Newbie friendliness 35/100
Maintainers usually reply within 1 day
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Difficulty 3/5 1-2 days Newbie friendliness 45/100
NVIDIA/cudf-spark#16686 ·
Maintainers usually reply within 1 day
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bug needs-triage
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
NVIDIA/garak#2381 · 1 comment ·
Maintainers usually reply within 2 days
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cat-bug mod-frontend orig-qa
Difficulty 4/5 3-5 days Newbie friendliness 45/100
NVIDIA/cudnn-frontend#2098 ·
Maintainers usually reply within 1 day
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cat-bug mod-frontend orig-qa
Difficulty 3/5 1-2 days Newbie friendliness 45/100
NVIDIA/cudnn-frontend#2097 ·
Maintainers usually reply within 1 day
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state:triage-needed
Difficulty 4/5 3-5 days Newbie friendliness 35/100
Maintainers usually reply within 1 day
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community-request
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
NVIDIA/Megatron-LM#8802 ·
Maintainers usually reply within 2 days
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state:triage-needed
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
Maintainers usually reply within 1 day
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Difficulty 4/5 3-5 days Newbie friendliness 45/100
NVIDIA/NeMo-Speech.cpp#98 ·
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bug
Difficulty 3/5 Half a day Newbie friendliness 55/100
Maintainers usually reply within 1 day
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area/bundler
Difficulty 5/5 Over a week Newbie friendliness 20/100
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area/bundler
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
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area/docs
Difficulty 3/5 1-2 days Newbie friendliness 70/100
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Difficulty 5/5 Over a week Newbie friendliness 28/100
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Difficulty 4/5 3-5 days Newbie friendliness 45/100
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component/operator needs-triage
Difficulty 4/5 3-5 days Newbie friendliness 55/100
NVIDIA/nodewright#934 ·
Maintainers usually reply within 1 day
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package/shellscript
Difficulty 4/5 3-5 days Newbie friendliness 48/100
NVIDIA/nodewright-packages#184 ·
Maintainers usually reply within 2 days
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package/nvidia-tuned
Difficulty 4/5 3-5 days Newbie friendliness 48/100
NVIDIA/nodewright-packages#183 ·
Maintainers usually reply within 2 days
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area/ci theme/ci-dx
Difficulty 4/5 3-5 days Newbie friendliness 30/100
Maintainers usually reply within 1 day
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Difficulty 2/5 1-3 hours Newbie friendliness 82/100
Maintainers usually reply within 1 day
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[FEA] QualX: base recommendations on cost, and better handle Photon, concurrent SQL and Delta writesOpen? - Needs Triage feature request qualx
Difficulty 5/5 Over a week Newbie friendliness 28/100
NVIDIA/cudf-spark-tools#2214 ·
Maintainers usually reply within 2 days
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Difficulty 4/5 3-5 days Newbie friendliness 32/100
Maintainers usually reply within 1 day
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? - Needs Triage bug
Difficulty 4/5 3-5 days Newbie friendliness 20/100
NVIDIA/cudf-spark#16685 ·
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? - Needs Triage feature request
Difficulty 3/5 1-2 days Newbie friendliness 45/100
NVIDIA/cudf-spark#16684 ·
Maintainers usually reply within 1 day
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