Gradually-Warmup Learning Rate Scheduler for PyTorch
☆991Oct 10, 2024Updated last year
Alternatives and similar repositories for pytorch-gradual-warmup-lr
Users that are interested in pytorch-gradual-warmup-lr are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning Rate Warmup in PyTorch☆415Jun 19, 2025Updated 10 months ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,609Jun 16, 2021Updated 4 years ago
- A PyTorch implementation of EfficientNet☆8,219Apr 8, 2022Updated 4 years ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,637Apr 9, 2026Updated last week
- Official Pytorch implementation of CutMix regularizer☆1,246Sep 16, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,949Updated this week
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,060Mar 2, 2024Updated 2 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,261Oct 17, 2024Updated last year
- ResNeSt: Split-Attention Networks☆3,265Dec 9, 2022Updated 3 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,109Apr 22, 2022Updated 3 years ago
- Count the MACs / FLOPs of your PyTorch model.☆5,082Jul 8, 2024Updated last year
- On the Variance of the Adaptive Learning Rate and Beyond☆2,551Jul 31, 2021Updated 4 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,170Mar 22, 2024Updated 2 years ago
- Synchronized Batch Normalization implementation in PyTorch.☆1,503Apr 8, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A CV toolkit for my papers.☆2,046Dec 21, 2024Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,323Apr 6, 2026Updated last week
- Unofficial PyTorch Reimplementation of RandAugment.☆636Mar 14, 2023Updated 3 years ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,044Aug 11, 2021Updated 4 years ago
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆15,285Jun 25, 2025Updated 9 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,315Aug 17, 2025Updated 8 months ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,494May 16, 2023Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,168Mar 20, 2024Updated 2 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,585Jun 13, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆883Jul 4, 2020Updated 5 years ago
- A LARS implementation in PyTorch☆353Feb 21, 2020Updated 6 years ago
- In-Place Activated BatchNorm for Memory-Optimized Training of DNNs☆1,333Jul 8, 2025Updated 9 months ago
- Image Test Time Augmentation with PyTorch!☆1,028Jul 28, 2023Updated 2 years ago
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,410Apr 12, 2024Updated 2 years ago
- PyTorch extensions for fast R&D prototyping and Kaggle farming