{"id":14958139,"url":"https://github.com/nvidia/deeplearningexamples","last_synced_at":"2025-04-23T20:50:44.720Z","repository":{"id":37396709,"uuid":"131881622","full_name":"NVIDIA/DeepLearningExamples","owner":"NVIDIA","description":"State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.","archived":false,"fork":false,"pushed_at":"2024-08-12T14:01:29.000Z","size":108726,"stargazers_count":14155,"open_issues_count":357,"forks_count":3321,"subscribers_count":296,"default_branch":"master","last_synced_at":"2025-04-15T08:44:43.850Z","etag":null,"topics":["computer-vision","deep-learning","drug-discovery","forecasting","large-language-models","mxnet","nlp","paddlepaddle","pytorch","recommender-systems","speech-recognition","speech-synthesis","tensorflow","tensorflow2","translation"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NVIDIA.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-05-02T17:04:05.000Z","updated_at":"2025-04-15T04:56:59.000Z","dependencies_parsed_at":"2024-09-22T06:12:24.085Z","dependency_job_id":null,"html_url":"https://github.com/NVIDIA/DeepLearningExamples","commit_stats":{"total_commits":963,"total_committers":129,"mean_commits":7.465116279069767,"dds":0.9003115264797508,"last_synced_commit":"729963dd47e7c8bd462ad10bfac7a7b0b604e6dd"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVIDIA%2FDeepLearningExamples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVIDIA%2FDeepLearningExamples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVIDIA%2FDeepLearningExamples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVIDIA%2FDeepLearningExamples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NVIDIA","download_url":"https://codeload.github.com/NVIDIA/DeepLearningExamples/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250514699,"owners_count":21443207,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","deep-learning","drug-discovery","forecasting","large-language-models","mxnet","nlp","paddlepaddle","pytorch","recommender-systems","speech-recognition","speech-synthesis","tensorflow","tensorflow2","translation"],"created_at":"2024-09-24T13:16:19.507Z","updated_at":"2025-04-23T20:50:44.694Z","avatar_url":"https://github.com/NVIDIA.png","language":"Jupyter Notebook","readme":"# NVIDIA Deep Learning Examples for Tensor Cores\n\n## Introduction\nThis 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, Turing and Ampere GPUs.\n\n## NVIDIA GPU Cloud (NGC) Container Registry\nThese examples, along with our NVIDIA deep learning software stack, are provided in a monthly updated Docker container on the NGC container registry (https://ngc.nvidia.com). These containers include:\n\n- The latest NVIDIA examples from this repository\n- The latest NVIDIA contributions shared upstream to the respective framework\n- The latest NVIDIA Deep Learning software libraries, such as cuDNN, NCCL, cuBLAS, etc. which have all been through a rigorous monthly quality assurance process to ensure that they provide the best possible performance\n- [Monthly release notes](https://docs.nvidia.com/deeplearning/dgx/index.html#nvidia-optimized-frameworks-release-notes) for each of the NVIDIA optimized containers\n\n\n## Computer Vision\n| Models                                                                                                                                 | Framework    | AMP            | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton                                                                                                                       | DLC  | NB                                                                                                                                                               |\n|----------------------------------------------------------------------------------------------------------------------------------------|--------------|----------------|-----------|------------|----------|------|------------------------------------------------------------------------------------------------------------------------------|------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [EfficientNet-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet)             | PyTorch      | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                    | Yes  | -                                                                                                                                                                |\n| [EfficientNet-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet)             | PyTorch      | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [EfficientNet-WideSE-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet)      | PyTorch      | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [EfficientNet-WideSE-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/efficientnet)      | PyTorch      | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [EfficientNet v1-B0](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v1)   | TensorFlow2  | Yes            | Yes       | Yes        | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/efficientnet) | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [EfficientNet v1-B4](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v1)   | TensorFlow2  | Yes            | Yes       | Yes        | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/efficientnet) | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [EfficientNet v2-S](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Classification/ConvNets/efficientnet_v2)    | TensorFlow2  | Yes            | Yes       | Yes        | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/efficientnet) | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [GPUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet)                                     | PyTorch      | Yes            | Yes       | -          | Example | Yes  | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet/triton/)                      | Yes  | -                                                                                                                                                                |\n| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/MaskRCNN)                                 | PyTorch      | Yes            | Yes       | -          | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/detectron2) | -    | Supported                                                                                                                             | -    | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/pytorch_MaskRCNN_pyt_train_and_inference.ipynb) |\n| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN)                             | TensorFlow2  | Yes            | Yes       | -          | [Example](https://github.com/NVIDIA/TensorRT/tree/main/samples/python/detectron2) | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [nnUNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/nnUNet)                                       | PyTorch      | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/MxNet/Classification/RN50v1.5)                                  | MXNet        | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | -    | -                                                                                                                                                                |\n| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PaddlePaddle/Classification/RN50v1.5)                           | PaddlePaddle | Yes            | Yes       | -          | Example | -    | Supported                                                                                                                             | -    | -                                                                                                                                                                |\n| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnet50v1.5)                   | PyTorch      | Yes            | Yes       | -          | Example | -    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnet50)            | Yes  | -                                                                                                                                                                |\n| [ResNet-50](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnet50v1.5)                | TensorFlow   | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/resnext101-32x4d)             | PyTorch      | Yes            | Yes       | -          | Example | -    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/resnext101-32x4d)    | Yes  | -                                                                                                                                                                |\n| [ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/resnext101-32x4d)          | TensorFlow   | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/se-resnext101-32x4d)       | PyTorch      | Yes            | Yes       | -          | Example | -    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets/triton/se-resnext101-32x4d) | Yes  | -                                                                                                                                                                |\n| [SE-ResNeXt-101](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/ConvNets/se-resnext101-32x4d)    | TensorFlow   | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Detection/SSD)                                                | PyTorch      | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | -    | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/PyTorch/Detection/SSD/examples/inference.ipynb)                                                 |\n| [SSD](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Detection/SSD)                                             | TensorFlow   | Yes            | Yes       | -          | Supported | -    | Supported                                                                                                                             | Yes  | [Yes](https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow/Detection/SSD/models/research/object_detection/object_detection_tutorial.ipynb)      |\n| [U-Net Med](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical)                          | TensorFlow2  | Yes            | Yes       | -          | Example | -    | Supported                                                                                                                             | Yes  | -                                                                                                                                                                |\n\n## Natural Language Processing\n| Models                                                                                                                 | Framework   | AMP  | Multi-GPU | Multi-Node | TensorRT | ONNX | Triton                                                                                                    | DLC  | NB                                                                                                                                          |\n|------------------------------------------------------------------------------------------------------------------------|-------------|------|-----------|------------|----------|------|-----------------------------------------------------------------------------------------------------------|------|---------------------------------------------------------------------------------------------------------------------------------------------|\n| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/BERT)                       | PyTorch     | Yes  | Yes       | Yes        | [Example](https://github.com/NVIDIA/TensorRT/tree/main/demo/BERT) | -    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/LanguageModeling/BERT/triton)    | Yes  | -                                                                                                                                           |\n| [GNMT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Translation/GNMT)                            | PyTorch     | Yes  | Yes       | -          | Supported | -    | Supported                                                                                                          | -    | -                                                                                                                                           |\n| [ELECTRA](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/ELECTRA)             | TensorFlow2 | Yes  | Yes       | Yes        | Supported | -    | Supported                                                                                                          | Yes  | -                                                                                                                                           |\n| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT)                    | TensorFlow  | Yes  | Yes       | Yes        | Example | -    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT/triton) | Yes  | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT/notebooks)                                |\n| [BERT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/LanguageModeling/BERT)                   | TensorFlow2 | Yes  | Yes       | Yes        | Supported | -    | Supported                                                                                                          | Yes  | -                                                                                                                                           |\n| [GNMT](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Translation/GNMT)                         | TensorFlow  | Yes  | Yes       | -          | Supported | -    | Supported                                                                                                          | -    | -                                                                                                                                           |\n| [Faster Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/FasterTransformer)                     | Tensorflow  | -    | -         | -          | Example | -    | Supported                                                                                                          | -    | -                                                                                                                                           |\n\n\n## Recommender Systems\n| Models                                                                                                         | Framework   | AMP   | Multi-GPU | Multi-Node   | ONNX   | Triton                                                                                               | DLC  | NB                                                                                                     |\n|----------------------------------------------------------------------------------------------------------------|-------------|-------|-----------|--------------|--------|------------------------------------------------------------------------------------------------------|------|--------------------------------------------------------------------------------------------------------|\n| [DLRM](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Recommendation/DLRM)                 | PyTorch     | Yes   | Yes       | -            | Yes    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Recommendation/DLRM/triton) | Yes  | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Recommendation/DLRM/notebooks) |\n| [DLRM](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Recommendation/DLRM)             | TensorFlow2 | Yes   | Yes       | Yes          | -      | Supported                                                                                                     | Yes  | -                                                                                                      |\n| [NCF](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Recommendation/NCF)                   | PyTorch     | Yes   | Yes       | -            | -      | Supported                                                                                                     | -    | -                                                                                                      |\n| [Wide\u0026Deep](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Recommendation/WideAndDeep)  | TensorFlow  | Yes   | Yes       | -            | -      | Supported                                                                                                     | Yes  | -                                                                                                      |\n| [Wide\u0026Deep](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Recommendation/WideAndDeep) | TensorFlow2 | Yes   | Yes       | -            | -      | Supported                                                                                                     | Yes  | -                                                                                                      |\n| [NCF](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Recommendation/NCF)                | TensorFlow  | Yes   | Yes       | -            | -      | Supported                                                                                                     | Yes  | -                                                                                                      |\n| [VAE-CF](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Recommendation/VAE-CF)          | TensorFlow  | Yes   | Yes       | -            | -      | Supported                                                                                                     | -    | -                                                                                                      |\n| [SIM](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Recommendation/SIM)               | TensorFlow2 | Yes   | Yes       | -            | -      | Supported                                                                                                     | Yes  | -                                                                                                      |\n\n\n## Speech to Text\n| Models                                                                                                       | Framework   | AMP  | Multi-GPU  | Multi-Node   | TensorRT | ONNX   | Triton                                                                                                   | DLC   | NB                                                                                                           |\n|--------------------------------------------------------------------------------------------------------------|-------------|------|------------|--------------|----------|--------|----------------------------------------------------------------------------------------------------------|-------|--------------------------------------------------------------------------------------------------------------|\n| [Jasper](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper)        | PyTorch     | Yes  | Yes        | -            | Example | Yes    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper/trtis) | Yes   | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/Jasper/notebooks) |\n| [QuartzNet](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechRecognition/QuartzNet)  | PyTorch     | Yes  | Yes        | -            | Supported | -      | Supported                                                                                                         | Yes   | -                                                                                                            |\n\n## Text to Speech\n| Models                                                                                                                  | Framework   | AMP  | Multi-GPU  | Multi-Node  | TensorRT | ONNX   | Triton                                                                                                        | DLC   | NB  |\n|-------------------------------------------------------------------------------------------------------------------------|-------------|------|------------|-------------|----------|--------|---------------------------------------------------------------------------------------------------------------|-------|-----|\n| [FastPitch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch)               | PyTorch     | Yes  | Yes        | -           | Example | -      | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch/triton)    | Yes   | Yes |\n| [FastSpeech](https://github.com/NVIDIA/DeepLearningExamples/tree/master/CUDA-Optimized/FastSpeech)                      | PyTorch     | Yes  | Yes        | -           | Example | -      | Supported                                                                                                              | -     | -   |\n| [Tacotron 2 and WaveGlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2) | PyTorch     | Yes  | Yes        | -           | Example | Yes    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp) | Yes   | -   |\n| [HiFi-GAN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/HiFiGAN)                  | PyTorch     | Yes  | Yes        | -           | Supported | -      | Supported                                                                                                              | Yes   | -   |\n\n## Graph Neural Networks\n| Models                                                                                                                  | Framework  | AMP  | Multi-GPU  | Multi-Node   | ONNX   | Triton   | DLC  | NB   |\n|-------------------------------------------------------------------------------------------------------------------------|------------|------|------------|--------------|--------|----------|------|------|\n| [SE(3)-Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/DGLPyTorch/DrugDiscovery/SE3Transformer) | PyTorch    | Yes  | Yes        | -            | -      | Supported         | -    | -    |\n| [MoFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/DrugDiscovery/MoFlow)                       | PyTorch    | Yes  | Yes        | -            | -      | Supported         | -    | -    |\n\n## Time-Series Forecasting\n| Models                                                                                                            | Framework  | AMP  | Multi-GPU   | Multi-Node   | TensorRT | ONNX   | Triton                                                                                           | DLC   | NB  |\n|-------------------------------------------------------------------------------------------------------------------|------------|------|-------------|--------------|----------|--------|--------------------------------------------------------------------------------------------------|-------|-----|\n| [Temporal Fusion Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Forecasting/TFT) | PyTorch    | Yes  | Yes         | -            | Example | Yes    | [Example](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Forecasting/TFT/triton) | Yes   | -   |\n\n## NVIDIA support\nIn each of the network READMEs, we indicate the level of support that will be provided. The range is from ongoing updates and improvements to a point-in-time release for thought leadership.\n\n## Glossary\n\n**Multinode Training**\nSupported on a pyxis/enroot Slurm cluster.\n\n**Deep Learning Compiler (DLC)**\nTensorFlow XLA and PyTorch JIT and/or TorchScript\n\n**Accelerated Linear Algebra (XLA)**\nXLA is a domain-specific compiler for linear algebra that can accelerate TensorFlow models with potentially no source code changes. The results are improvements in speed and memory usage.\n\n**PyTorch JIT and/or TorchScript**\nTorchScript is a way to create serializable and optimizable models from PyTorch code. TorchScript, an intermediate representation of a PyTorch model (subclass of nn.Module) that can then be run in a high-performance environment such as C++.\n\n**Automatic Mixed Precision (AMP)**\nAutomatic Mixed Precision (AMP) enables mixed precision training on Volta, Turing, and NVIDIA Ampere GPU architectures automatically.\n\n**TensorFloat-32 (TF32)**\nTensorFloat-32 (TF32) is the new math mode in [NVIDIA A100](https://www.nvidia.com/en-us/data-center/a100/) GPUs for handling the matrix math also called tensor operations. TF32 running on Tensor Cores in A100 GPUs can provide up to 10x speedups compared to single-precision floating-point math (FP32) on Volta GPUs. TF32 is supported in the NVIDIA Ampere GPU architecture and is enabled by default.\n\n**Jupyter Notebooks (NB)**\nThe Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.\n\n\n## Feedback / Contributions\nWe're posting these examples on GitHub to better support the community, facilitate feedback, as well as collect and implement contributions using GitHub Issues and pull requests. We welcome all contributions!\n\n## Known issues\nIn each of the network READMEs, we indicate any known issues and encourage the community to provide feedback.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnvidia%2Fdeeplearningexamples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnvidia%2Fdeeplearningexamples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnvidia%2Fdeeplearningexamples/lists"}