EvgenyKashin / non-leaking-convLinks
Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch
☆14Updated 4 years ago
Alternatives and similar repositories for non-leaking-conv
Users that are interested in non-leaking-conv are comparing it to the libraries listed below
Sorting:
- State-of-the-art data augmentation search algorithms in PyTorch☆46Updated last year
- Advanced optimizer with Gradient-Centralization☆21Updated 4 years ago
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 6 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- Adam with minor modifications which give significant improvement☆19Updated 3 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- ☆19Updated 4 years ago
- Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…☆22Updated 5 years ago
- ☆41Updated 4 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- ☆23Updated 4 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- Easy Multiprocessing for Python☆43Updated 4 years ago
- A PyTorch Dataset that caches samples in shared memory, accessible globally to all processes☆20Updated 3 years ago
- ☆54Updated 3 years ago
- Lightweight knowledge distillation pipeline☆28Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- ☆28Updated 5 years ago
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆53Updated 4 years ago
- High performance pytorch modules☆18Updated 2 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago
- Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch☆58Updated 4 years ago
- ☆20Updated 2 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Knowledge Distillation Algorithms implemented with PyTorch☆17Updated 5 years ago
- WeightNet: Revisiting the Design Space of Weight Networks☆19Updated 4 years ago
- Includes additional materials for the following keras.io blog post.☆12Updated 4 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago