noahgolmant / pytorch-lr-dropoutLinks
"Learning Rate Dropout" in PyTorch
☆34Updated 5 years ago
Alternatives and similar repositories for pytorch-lr-dropout
Users that are interested in pytorch-lr-dropout are comparing it to the libraries listed below
Sorting:
- Implementation of tools to control and monitor layer rotation in different DL libraries☆40Updated 5 years ago
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 6 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆23Updated 5 years ago
- Prunable nn layers for pytorch.☆48Updated 6 years ago
- Swish Activation - PyTorch CUDA Implementation☆37Updated 5 years ago
- Simple implementation of the LSUV initialization in PyTorch☆58Updated last year
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 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
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- ☆23Updated 6 years ago
- ☆33Updated 11 months ago
- An implementation of shampoo☆74Updated 7 years ago
- ☆34Updated 6 years ago
- Code for reproducing results of the paper "Layer rotation: a surprisingly powerful indicator of generalization in deep networks?"☆50Updated 5 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- ☆21Updated 5 years ago
- A new technique to increase receptive field in convolutional neural networks without losing so much information.☆30Updated 7 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 6 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- Code for the paper☆29Updated 6 years ago
- ☆28Updated 4 years ago
- Python library for various computer vision problems with a focus on easy usage.☆18Updated 4 years ago
- Pytorch implementation of Learning Rate Dropout.☆42Updated 5 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 10 months ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 4 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago