yechengxi / deconvolutionLinks
☆182Updated 2 years ago
Alternatives and similar repositories for deconvolution
Users that are interested in deconvolution are comparing it to the libraries listed below
Sorting:
- Standardizing weights to accelerate micro-batch training☆549Updated 3 years ago
- A Re-implementation of Fixed-update Initialization☆152Updated 6 years ago
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆72Updated 7 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 3 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- ☆165Updated 6 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆184Updated 6 years ago
- Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' pap…☆402Updated 7 years ago
- Minimal API for receptive field calculation in PyTorch☆68Updated 2 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- ☆351Updated 5 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago
- Implementation and experiments for AdamW on Pytorch☆94Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- Pretrained bag-of-local-features neural networks☆313Updated 5 years ago
- Labels and other data for the paper "Are we done with ImageNet?"☆193Updated 3 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆197Updated 5 years ago
- Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)☆214Updated 6 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- Implements the unsupervised pre-training of convolutional neural networks☆252Updated 3 years ago
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆143Updated 3 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 4 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆347Updated 5 years ago
- homura is a library for fast prototyping DL research☆106Updated 3 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆188Updated last year