# NVIDIA AI GitHub Repositories

> Complete list of relevant NVIDIA open-source repositories.

## Core Frameworks

| Repository | URL | Description |
|---|---|---|
| NeMo | `https://github.com/NVIDIA/NeMo` | Core training framework (LLM, ASR, TTS, Vision) |
| NeMo-Curator | `https://github.com/NVIDIA/NeMo-Curator` | GPU-accelerated data curation |
| NeMo-Run | `https://github.com/NVIDIA/NeMo-Run` | Experiment management |
| NeMo-Skills | `https://github.com/NVIDIA/NeMo-Skills` | Synthetic data and evaluation |
| NeMo-Guardrails | `https://github.com/NVIDIA/NeMo-Guardrails` | Programmable LLM safety rails |
| NeMo-Agent-Toolkit | `https://github.com/NVIDIA/nemo-agent-toolkit` | Framework-agnostic agent builder |

## Inference

| Repository | URL | Description |
|---|---|---|
| TensorRT-LLM | `https://github.com/NVIDIA/TensorRT-LLM` | LLM inference optimization |
| Triton Inference Server | `https://github.com/triton-inference-server/server` | Multi-framework model serving |
| Dynamo | `https://github.com/ai-dynamo/dynamo` | Distributed inference orchestration |
| TensorRT | `https://github.com/NVIDIA/TensorRT` | General inference optimizer |

## Examples & References

| Repository | URL | Description |
|---|---|---|
| GenerativeAIExamples | `https://github.com/NVIDIA/GenerativeAIExamples` | RAG, agent, and AI workflow examples |

## Domain-Specific

| Repository | URL | Description |
|---|---|---|
| BioNeMo | `https://github.com/NVIDIA/bionemo-framework` | Biology and drug discovery |
| MONAI | `https://github.com/Project-MONAI/MONAI` | Medical imaging AI |
| Modulus | `https://github.com/NVIDIA/modulus` | Physics-ML (scientific computing) |

## Developer Tools

| Repository | URL | Description |
|---|---|---|
| NVIDIA Container Toolkit | `https://github.com/NVIDIA/nvidia-container-toolkit` | GPU container support |
| GPU Operator | `https://github.com/NVIDIA/gpu-operator` | Kubernetes GPU management |
| Torch-TensorRT | `https://github.com/pytorch/TensorRT` | PyTorch + TensorRT integration |
