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Search results for pytorch forward
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pytorch
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25 search results found
Roialign.pytorch
⭐
513
RoIAlign & crop_and_resize for PyTorch
Forward
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491
A library for high performance deep learning inference on NVIDIA GPUs.
Softmax Splatting
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410
an implementation of softmax splatting for differentiable forward warping using PyTorch
Pytorch Correlation Extension
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385
Custom implementation of Corrleation Module
Torch Batch Svd
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287
A 100x faster SVD for PyTorch⚡️
Lookahead.pytorch
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257
lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
Dsfd Pytorch Inference
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201
A High-Performance Pytorch Implementation of face detection models, including RetinaFace and DSFD
Fmpytorch
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153
A PyTorch implementation of a Factorization Machine module in cython.
Deepwave
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140
Wave propagation modules for PyTorch.
Fast Wavenet.pytorch
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88
A PyTorch implementation of fast-wavenet
Forward Thinking Pytorch
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66
Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
Forward Warp
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52
An optical flow forward warp's lib with backpropagation using pytorch.
Pytorch Parallel
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44
Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.
Pytorchmodulestorage
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30
A easy to use API to store outputs from forward/backward hooks in Pytorch
Mwcnn
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24
MWCNN implementation based on Pytorch
Pytorch Curveball
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19
A second-order optimizer for deep networks
Messagepassing_for_gnns
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18
Experiments with Message Passing GNNs in C++ and PyTorch.
Pytorch_sym3eig
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18
Pytorch extension: Batch-wise eigencomputation for symmetric 3x3 matrices
Aligners
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17
HMM, CTC, RNN-Transducer, forward-backward algorithm
Torch Asg
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15
Auto Segmentation Criterion (ASG) implemented in pytorch
Ternary Weights Network
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12
Ternay-Weights-Network/Pytorch
Ff Attention
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10
PyTorch implementation of the Feed-Forward Attention Mechanism.
Pytorch_lstm Shuttle
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9
A PyTorch implementation of LSTM-Shuttle
Seq2bf Pytorch
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7
Seq2BF:based on paper《Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation》,Chat robot based on key word.
Maxout Pytorch
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6
Here is the implementation of Maxout Layer from paper: https://arxiv.org/pdf/1302.4389.pdf in PyTorch. In forward pass, maxout for the feature maps of CNN is calculated. For backward pass, derivative of error w.r.t input is only propagated through the cells of feature maps array which were activated in forward pass(which is derivative of Maxout). To be sure this works fine, results were compared with Maxout in Theano(which is with the name featurepool layer) and were confirmed to be working fine
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