git-disl / LRBenchLinks
A learning rate recommending and benchmarking tool.
☆20Updated 2 years ago
Alternatives and similar repositories for LRBench
Users that are interested in LRBench are comparing it to the libraries listed below
Sorting:
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆16Updated 4 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 5 years ago
- PyTorch ObjectDetection Modules and ONNX ops☆18Updated 2 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆24Updated 5 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated 2 years ago
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆31Updated 2 years ago
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆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 5 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆54Updated 3 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 5 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Updated 4 years ago
- ☆54Updated 4 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 3 years ago
- ☆41Updated 4 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 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
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆41Updated 2 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- State-of-the-art data augmentation search algorithms in PyTorch☆47Updated 2 years ago
- Pruning applied to Facial Recognition.☆15Updated 6 years ago
- Our implementation of Shampoo optimizer based on https://arxiv.org/pdf/1802.09568.pdf☆12Updated 5 years ago
- TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).☆53Updated 4 years ago
- Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and…☆38Updated 2 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- Adam with minor modifications which give significant improvement☆19Updated 4 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆12Updated last year
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Updated 5 years ago
- batchboost is a variation on MixUp that instead of mixing just two images, mixes many images together.☆44Updated 5 years ago