DeepLearningExamples
State-of-the-Art Deep Learning scripts for easy training and deployment with reproducible accuracy and performance on enterprise-grade infrastructure
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
DeepLearningExamples offers state-of-the-art deep learning scripts optimized for NVIDIA GPUs, with a focus on reproducibility and performance. It supports a wide range of applications from computer vision to speech and N
Good fit when
- When you need deep learning scripts optimized for NVIDIA GPUs, including Volta, Turing, and Ampere architectures, for tasks like computer vision, NLP, and speech recognition.
- If you require reproducible accuracy and performance on enterprise-grade infrastructure, leveraging the latest NVIDIA CUDA-X software stack.
Avoid when
- If your infrastructure does not include NVIDIA GPUs, as the scripts are specifically optimized for NVIDIA hardware.
- If you are looking for a tool that supports a wider range of hardware or non-NVIDIA GPU environments.
- Requirements:
- Requires NVIDIA GPUs for optimal performance.; Uses NVIDIA's CUDA-X software stack, including libraries like cuDNN, NCCL, and cuBLAS.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (766d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
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Backing
Company context for Nvidia. Display-only - separate from trust and ranking.
- Company
- NVIDIA Corporation·GitHub org profile·Jul 11, 2026
- Employees
- 11,528·Wikidata (P1128 employees)·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
Install
git clone https://github.com/NVIDIA/DeepLearningExamplesHow it fits your stack(5)
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Overview
Repository contains deep learning examples for various applications including computer vision, natural language processing, speech recognition, and more, optimized for NVIDIA GPUs
Capability facts
- Languages
- jupyter notebook
Source: github.language · Sep 18, 2026
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README
NVIDIA Deep Learning Examples for Tensor Cores Introduction This repository provides State of the Art Deep Learning examples that are easy to train and deploy, achieving the best reproducible accuracy and performance with NVIDIA CUDA X software stack running on NVIDIA Volta, Turi...
For agents
This page has a .md twin and JSON over the API.