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  3. NVIDIA Corporation
NVIDIA CorporationOrganization

NVIDIA Corporation

@nvidia • Open source projects from nvidia. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

74%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

30 repos

Visible snapshot

30 repositories updated in the last 90 days.

Leading language

Python

Portfolio mix

Python (18), Shell (3), Go (2)

Average size

29

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Back to organizationsCompare repositories
Updated: 2026-06-09(4d ago)GitHub API fallback30 repositories

Portfolio Shape

74%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

29

stars per repository in this same snapshot.

Current Mix

Python

is the most common language here, with 30 repositories updated in the last 90 days.

Why this rank

This organization stands out because its public portfolio is relatively balanced across 30 repositories.

Balanced portfolio across 30 reposTop 3 share 74%

Organization pages work best when you separate portfolio breadth from flagship concentration. In NVIDIA Corporation's case, the visible top three repositories account for about 74% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Python (18), Shell (3), Go (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguageStars🍴 ForksUpdated
1nvidia/flashdreams

high-performance inference and serving library for interactive autoregressive video and world models

Python31816Today
2nvidia/cosmos-framework

Our inference and training framework to run on the Cosmos Models

Python23430Today
3nvidia/CompileIQ

An Optimizer for Nvidia Compilers.

Python924Yesterday
4nvidia/nemoclaw-community

Our repository of community driven examples, showcases, and integrations

Python53181 weeks ago
5nvidia/numba-cuda-mlir

repo for Numba-CUDA-MLIR

Python3215Today
6nvidia/harmonizer

Harmonizer is an online generative enhancement framework that transforms renderings from imperfect scenes into temporally consistent outputs while improving their realism.

Python3011 weeks ago
7nvidia/instant-nurec

InstantNuRec: Feed-Forward 3D Gaussian Reconstruction from Driving Logs

Python2022 weeks ago
8nvidia/QCalEval

Evaluation scripts for the QCalEval benchmark — a dataset for assessing vision-language model capabilities on quantum calibration experiment analysis.

Python1921 months ago
9nvidia/physical-ai-data-factory

Synthetic Data Generation Workflows for Physical AI

Shell1525 days ago
10nvidia/nv-config-manager

NVIDIA Switch Infrastructure - Config Manager

Python112Today
11nvidia/dsx-exchange

DSX Exchange

Go107Yesterday
12nvidia/paidf-anomalygen

Diffusion-based pipeline for generating photorealistic, mask-aligned synthetic anomaly images for industrial visual inspection from only a few real examples

Jupyter Notebook821 weeks ago
13nvidia/nurec-skills

Agent skills for Neural Reconstruction Engine

Python721 weeks ago
14nvidia/cell-eval

Comprehensive suite for evaluating perturbation prediction models

Python61Yesterday
15nvidia/DeepStream

DeepStream OSS

C++501 weeks ago
16nvidia/warp-minio

S3 benchmarking tool

202 weeks ago
17nvidia/paidf-simulation

Synthetic data generation engine using NVIDIA Isaac Sim and Omniverse Replicator to render photorealistic, fully labeled PCB inspection imagery, including golden and defect boards

Python201 weeks ago
18nvidia/paidf-auto-labeling

Auto-labeling pipeline that turns raw video and images into fine-tuning-ready scenes via super-resolution, detection and tracking, VLM scene understanding, and question generation

Python201 weeks ago
19nvidia/digital-health-skills

NVIDIA Digital Health skills repo for agent-guided healthcare AI workflows, including evaluation, data generation, model adaptation, deployment guidance, and developer best practices.

HTML202 weeks ago
20nvidia/simready-blender-add-on

Public repo for simready-blender-add-on

Python201 months ago
21nvidia/srt-slurm-recipes

Official NVIDIA/srt-slurm sweep configs for benchmarking LLMs across NVIDIA GPUs and frameworks, spanning aggregated and disaggregated serving on single- and multi-node setups.

Python102 days ago
22nvidia/media-function-operator-kit

Media Function Operator Kit

Go103 days ago
23nvidia/paidf-augmentation

Containerized generative-AI pipeline that transforms video, image, and text inputs into large, diverse, physically grounded datasets for model training and evaluation

Python101 weeks ago
24nvidia/openocd

This repository contains a copy of OpenOCD (https://openocd.org/) with support for Nvidia Tegra chips

Shell101 weeks ago
25nvidia/cswp

This repository contains Nvidia's implementation of the client side of the CoreSight Wire Protocol specification 1.0

C++101 months ago
26nvidia/gmmts_lib

The official code for the paper GMMTS

Python004 days ago
27nvidia/aerial-omniverse-digital-twin

Aerial Omniverse Digital Twin (AODT)

TypeScript002 days ago
28nvidia/text2sql-active-learning

SHARP: robust active learning for selecting which natural-language questions to annotate with SQL when building a few-shot example bank for text-to-SQL.

Python003 weeks ago
29nvidia/bcm-slurm-builder

Project to build slurm packages for NVIDIA Base Command Manager

Shell001 weeks ago
30nvidia/rumpelpod

Orchestrator for LLM coding agents in Docker and Kubernetes pods

Rust003 weeks ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

How to read this organization snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.