教程部分 |
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Deep Learning with PyTorch: A 60 Minute Blitz |
@bat67 |
100% |
@AllenZYJ |
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What is PyTorch? |
@bat67 |
100% |
@AllenZYJ |
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Autograd: Automatic Differentiation |
@bat67 |
100% |
@AllenZYJ |
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Neural Networks |
@bat67 |
100% |
@AllenZYJ |
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Training a Classifier |
@bat67 |
100% |
@AllenZYJ |
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Optional: Data Parallelism |
@bat67 |
100% |
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Data Loading and Processing Tutorial |
@yportne13 |
100% |
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Learning PyTorch with Examples |
@bat67 |
100% |
@Smilexuhc |
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Transfer Learning Tutorial |
@jiangzhonglian |
100% |
@infdahai |
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Deploying a Seq2Seq Model with the Hybrid Frontend |
@cangyunye |
100% |
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Saving and Loading Models |
@bruce1408 |
100% |
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What is torch.nn really? |
@lhc741 |
100% |
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Finetuning Torchvision Models |
@ZHHAYO |
100% |
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Spatial Transformer Networks Tutorial |
@PEGASUS1993 |
100% |
@Smilexuhc |
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Neural Transfer Using PyTorch |
@bdqfork |
100% |
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Adversarial Example Generation |
@cangyunye |
100% |
@infdahai |
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Transfering a Model from PyTorch to Caffe2 and Mobile using ONNX |
@PEGASUS1993 |
100% |
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Chatbot Tutorial |
@a625687551 |
100% |
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Generating Names with a Character-Level RNN |
@hhxx2015 |
100% |
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Classifying Names with a Character-Level RNN |
@hhxx2015 |
100% |
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Deep Learning for NLP with Pytorch |
@bruce1408 |
100% |
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Introduction to PyTorch |
@guobaoyo |
100% |
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Deep Learning with PyTorch |
@bdqfork |
100% |
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Word Embeddings: Encoding Lexical Semantics |
@sight007 |
100% |
@Smilexuhc |
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Sequence Models and Long-Short Term Memory Networks |
@ETCartman |
100% |
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Advanced: Making Dynamic Decisions and the Bi-LSTM CRF |
@JohnJiangLA |
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Translation with a Sequence to Sequence Network and Attention |
@mengfu188 |
100% |
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DCGAN Tutorial |
@wangshuai9517 |
100% |
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Reinforcement Learning (DQN) Tutorial |
@friedhelm739 |
100% |
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Creating Extensions Using numpy and scipy |
@cangyunye |
100% |
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Custom C++ and CUDA Extensions |
@P3n9W31 |
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Extending TorchScript with Custom C++ Operators |
@sunxia233 |
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Writing Distributed Applications with PyTorch |
@firdameng |
100% |
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PyTorch 1.0 Distributed Trainer with Amazon AWS |
@yportne13 |
100% |
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ONNX Live Tutorial |
@PEGASUS1993 |
100% |
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Loading a PyTorch Model in C++ |
@talengu |
100% |
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Using the PyTorch C++ Frontend |
@solerji |
100% |
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文档部分 |
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Autograd mechanics |
@PEGASUS1993 |
100% |
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Broadcasting semantics |
@PEGASUS1993 |
100% |
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CUDA semantics |
@jiangzhonglian |
100% |
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Extending PyTorch |
@PEGASUS1993 |
100% |
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Frequently Asked Questions |
@PEGASUS1993 |
100% |
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Multiprocessing best practices |
@cvley |
100% |
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Reproducibility |
@WyattHuang1 |
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Serialization semantics |
@yuange250 |
100% |
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Windows FAQ |
@PEGASUS1993 |
100% |
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torch |
@yiran7324 |
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torch.Tensor |
@hijkzzz |
100% |
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Tensor Attributes |
@yuange250 |
100% |
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Type Info |
@PEGASUS1993 |
100% |
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torch.sparse |
@hijkzzz |
100% |
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torch.cuda |
@bdqfork |
100% |
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torch.Storage |
@yuange250 |
100% |
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torch.nn |
@yuange250 |
100% |
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torch.nn.functional |
@hijkzzz |
100% |
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torch.nn.init |
@GeneZC |
100% |
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torch.optim |
@qiaokuoyuan |
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Automatic differentiation package - torch.autograd |
@gfjiangly |
100% |
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Distributed communication package - torch.distributed |
@univeryinli |
100% |
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Probability distributions - torch.distributions |
@hijkzzz |
100% |
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Torch Script |
@keyianpai |
100% |
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Multiprocessing package - torch.multiprocessing |
@hijkzzz |
100% |
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torch.utils.bottleneck |
@belonHan |
100% |
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torch.utils.checkpoint |
@belonHan |
100% |
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torch.utils.cpp_extension |
@belonHan |
100% |
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torch.utils.data |
@BXuan694 |
100% |
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torch.utils.dlpack |
@kunwuz |
100% |
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torch.hub |
@kunwuz |
100% |
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torch.utils.model_zoo |
@BXuan694 |
100% |
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torch.onnx |
@guobaoyo |
100% |
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Distributed communication package (deprecated) - torch.distributed.deprecated |
@luxinfeng |
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torchvision Reference |
@BXuan694 |
100% |
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torchvision.datasets |
@BXuan694 |
100% |
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torchvision.models |
@BXuan694 |
100% |
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torchvision.transforms |
@BXuan694 |
100% |
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torchvision.utils |
@BXuan694 |
100% |
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