tunz / tcop-pytorchLinks
tunz's CUDA pytorch operator (MaskedSoftmax)
☆75Updated 6 years ago
Alternatives and similar repositories for tcop-pytorch
Users that are interested in tcop-pytorch are comparing it to the libraries listed below
Sorting:
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- PyTorch DataLoader processed in multiple remote computation machines for heavy data processings☆67Updated 5 years ago
- Corrupted labels and label smoothing☆129Updated 7 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆44Updated 5 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 7 years ago
- All Model summary in PyTorch similar to `model.summary()` in Keras☆88Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated 7 months ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- Prunable nn layers for pytorch.☆48Updated 7 years ago
- a list of recent papers on transfer learning☆24Updated 7 years ago
- Adaptive Softmax implementation for PyTorch☆81Updated 6 years ago
- An unofficial PyTorch implementation of the HAN and AdaHAN models presented in the "Learning Visual Question Answering by Bootstrapping H…☆54Updated 6 years ago
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Updated 5 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 7 years ago
- An implementation of shampoo☆76Updated 7 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Implementation of Neural Arithmetic Logic Units (https://arxiv.org/pdf/1808.00508.pdf)☆31Updated 6 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago
- Sparse and structured neural attention mechanisms☆224Updated 4 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- General stats about NeurIPS 2019☆28Updated 4 years ago
- This is an example of how to train a MNIST network in Python and run it in c++ with pytorch 1.0☆96Updated 6 years ago
- "Efficient end-to-end learning for quantizable representations" accepted at ICML2018☆66Updated 6 years ago
- Generates a zip archive that is uploadable to arXiv.☆45Updated 5 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- For visual commonsense model☆34Updated 6 years ago
- An attempt at a PyTorch Implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning by Shocher et al. CVPR 2018☆14Updated 6 years ago