shivram1987 / diffGradLinks
diffGrad: An Optimization Method for Convolutional Neural Networks
☆55Updated 2 years ago
Alternatives and similar repositories for diffGrad
Users that are interested in diffGrad are comparing it to the libraries listed below
Sorting:
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆23Updated 5 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- ☆54Updated 3 years ago
- ☆26Updated 4 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 4 years ago
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 6 years ago
- Pytorch implementation of Learning Rate Dropout.☆42Updated 5 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 4 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 10 months ago
- Code base for SRSGD.☆28Updated 5 years ago
- ☆41Updated 4 years ago
- PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)☆30Updated 4 years ago
- ☆47Updated 4 years ago
- Implementation of tools to control and monitor layer rotation in different DL libraries☆40Updated 5 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 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
- Implementations of quasi-hyperbolic optimization algorithms.☆102Updated 5 years ago
- Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…☆22Updated 5 years ago
- Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)☆11Updated 2 years ago
- ☆57Updated 3 years ago
- ☆21Updated 5 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- PyTorch implementation of shake-drop regularization☆54Updated 5 years ago
- AttentiveNorm_Detection(built on Open MMLab Detection Toolbox and Benchmark)☆22Updated 4 years ago
- Deep Learning Research☆16Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- A simple Transformer where the softmax has been replaced with normalization☆20Updated 4 years ago