AdamByerly / BMCNNwHFCsLinks
The code for "No Routing Needed Between Capsules". This repository contains the code used for the experiments detailed in a forthcoming paper. The paper is available pre-published at arXiv: http://arxiv.org/abs/2001.09136
☆53Updated 4 years ago
Alternatives and similar repositories for BMCNNwHFCs
Users that are interested in BMCNNwHFCs are comparing it to the libraries listed below
Sorting:
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆85Updated 4 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 5 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆54Updated 3 years ago
- ☆14Updated 6 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆79Updated 3 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)☆31Updated 4 years ago
- ☆124Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 5 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- ☆47Updated 4 years ago
- Pruning applied to Facial Recognition.☆15Updated 6 years ago
- An open source implementation of CLIP.☆33Updated 3 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- Offical Repo for Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. Accepted by Neurips 2020.☆34Updated 5 years ago
- Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch☆14Updated 4 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.☆38Updated 3 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- ☆55Updated 4 years ago
- ☆41Updated 4 years ago
- PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision☆26Updated 4 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆24Updated 5 years ago
- ☆69Updated 5 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆217Updated 4 years ago
- ☆39Updated 5 years ago
- ☆57Updated 3 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆116Updated 3 years ago