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DeepLearningExamples
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
★14.8kstars
Jupyter Notebook
Updated: Today
📋 Project at a Glance
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What's this?A , built with Jupyter Notebook open-source project in the Learning & Resources category, core strengths: computer-vision/deep-learning
Who made it?Maintained by NVIDIA team, 14.8K⭐ on GitHub, #193 out of 3640 in Learning & Resources
Why does it exist?In the Learning & Resources space, computer-vision workflows faced efficiency bottlenecks. DeepLearningExamples was built by NVIDIA to address these deep-learning challenges.
What can it do?Key use cases: drug-discovery, forecasting, large-language-models
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/NVIDIA/DeepLearningExamples
🔗 github.com/NVIDIA/DeepLearningExamples
Topics
computer-visiondeep-learningdrug-discoveryforecastinglarge-language-modelsmxnetnlppaddlepaddlepytorchrecommender-systemsspeech-recognitionspeech-synthesistensorflowtensorflow2translation