wolfecameron / optimizersLinks
implements various optimizers from scratch for analysis and comparison
☆9Updated 5 years ago
Alternatives and similar repositories for optimizers
Users that are interested in optimizers are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation (https://arxiv.org/abs/1606.02147)☆11Updated 5 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Updated 6 years ago
- This research is carried out to find the necessity of fully connected (FC) layers in CNN for image classification.☆14Updated 5 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- ☆24Updated last year
- NeurIPS2021: Vision Transformer Paper Collection☆8Updated 3 years ago
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 5 years ago
- Our implementation of Shampoo optimizer based on https://arxiv.org/pdf/1802.09568.pdf☆12Updated 5 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 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
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- ImageNet training code that implements academic defaults☆12Updated 3 years ago
- Python scripts to facilitate easy working☆11Updated 11 months ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆18Updated 3 years ago
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 3 years ago
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- Pruning applied to Facial Recognition.☆15Updated 5 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Updated 3 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 4 years ago
- Official PyTorch implementation of RIO☆18Updated 3 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Code of "Visualizing and Understanding Object Detecor"☆20Updated 3 years ago