sniklaus / pytorch-extensionLinks
an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors
☆118Updated last week
Alternatives and similar repositories for pytorch-extension
Users that are interested in pytorch-extension are comparing it to the libraries listed below
Sorting:
- CuPy fused PyTorch neural networks ops☆273Updated 7 years ago
- Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation☆64Updated 7 years ago
- A PyTorch library for differentiable submodular minimization.☆58Updated 7 years ago
- Binary Stochastic Neurons in PyTorch☆57Updated 7 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- How and why you want to make your pytorch CUDA/CPP extension with a Makefile☆172Updated 5 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- An implementation of shampoo☆74Updated 7 years ago
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 5 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- All convolution operators replaced with coordinate convolutions☆36Updated 6 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Prunable nn layers for pytorch.☆48Updated 6 years ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated last year
- Support powerful visual logging in PyTorch.☆103Updated 7 years ago
- ☆28Updated 7 years ago
- Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".☆42Updated 5 years ago
- Glow: Generative Flow with Invertible 1×1 Convolutions☆77Updated 6 years ago
- Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"☆121Updated 7 years ago
- Unsupervised Learning of Multi-Frame Optical Flow with Occlusions☆112Updated 5 years ago
- Image-to-image translation with flow-based generative model☆64Updated 6 years ago
- Learning Sparse High Dimensional Filters with Neural Networks☆69Updated 7 years ago
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆72Updated 6 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 6 years ago