├── .gitignore ├── 1.Introduction ├── README.rst └── getting_started.py ├── 2.ASimpleNeuralNetwork ├── README.rst ├── autograd_example.py ├── custom_linear_layer.py ├── datautils.py ├── fizbuz.py └── numpy_like_fizbuz.py ├── 3.DLWorkFlow ├── DesignExperiments │ ├── datautils.py │ └── torchtext_example.py ├── ModelImplementation │ ├── bottleneck_support.py │ ├── otherenv.py │ └── profile_support.py ├── README.rst └── TrainingAndValidation │ └── ignite_with_checkpointing.py ├── 4.ComputerVision ├── README.rst ├── SemSeg │ ├── dataset.py │ ├── segmentation.py │ └── segmentationModel.py └── SimpleCNN │ ├── simpleCNN.py │ └── simpleCNNModel.py ├── 5.SequentialDataProcessing ├── AdvancedRNN │ ├── model.py │ └── train.py ├── README.rst ├── RecursiveNet │ ├── model.py │ └── train.py └── SimpleRNN │ ├── model.py │ └── train.py ├── 6.GenerativeNetworks ├── AutoRegressive │ ├── pixelcnn.py │ ├── wavenet.py │ └── wavenet_data.py ├── GAN │ ├── CycleGAN │ │ ├── mode.py │ │ └── util.py │ └── SimpleGAN │ │ └── model.py └── README.rst ├── 7.ReinforcementLearning ├── README.rst └── reinforcement_learning.py ├── 8.PyTorchInProduction ├── FizBuzFlask │ ├── app.py │ ├── assets │ │ └── fizbuz_model.pth │ ├── controller.py │ └── model.py ├── FizBuzONNX │ ├── fizbuz.onnx │ ├── fizbuz_package.mar │ ├── fizbuz_package │ │ ├── fizbuz.onnx │ │ ├── fizbuz_service.py │ │ └── signature.json │ └── graph.txt ├── FizBuzTorchScript │ ├── CMakeLists.txt │ ├── fizbuz.cpp │ ├── fizbuz.py │ ├── fizbuz_model.pt │ ├── fizbuz_model.pth │ ├── makefile_ │ ├── model.py │ └── run.py ├── README.rst ├── RedisAI │ ├── fizbuz_model.pt │ ├── installation.sh │ ├── run_redis.py │ └── run_server.sh ├── TorchScriptExamples │ ├── addition.py │ ├── frompython.py │ └── multinomial.py ├── locustfile.py └── onnx_server.sh ├── LICENSE ├── README.rst ├── environment.yml └── utils.py /.gitignore: -------------------------------------------------------------------------------- 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