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https://github.com/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.
https://github.com/NVIDIA/DeepLearningExamples
computer-vision deep-learning drug-discovery forecasting large-language-models mxnet nlp paddlepaddle pytorch recommender-systems speech-recognition speech-synthesis tensorflow tensorflow2 translation
Last synced: 7 days ago
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State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- Host: GitHub
- URL: https://github.com/NVIDIA/DeepLearningExamples
- Owner: NVIDIA
- Created: 2018-05-02T17:04:05.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-08-12T14:01:29.000Z (3 months ago)
- Last Synced: 2024-10-14T08:43:04.223Z (21 days ago)
- Topics: computer-vision, deep-learning, drug-discovery, forecasting, large-language-models, mxnet, nlp, paddlepaddle, pytorch, recommender-systems, speech-recognition, speech-synthesis, tensorflow, tensorflow2, translation
- Language: Jupyter Notebook
- Homepage:
- Size: 104 MB
- Stars: 13,351
- Watchers: 296
- Forks: 3,198
- Open Issues: 341
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Metadata Files:
- Readme: README.md
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- my-awesome - NVIDIA/DeepLearningExamples - vision,deep-learning,drug-discovery,forecasting,large-language-models,mxnet,nlp,paddlepaddle,pytorch,recommender-systems,speech-recognition,speech-synthesis,tensorflow,tensorflow2,translation pushed_at:2024-08 star:13.5k fork:3.2k State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. (Jupyter Notebook)