A learning rate range test implementation in PyTorch
☆1,003Jun 24, 2025Updated 9 months ago
Alternatives and similar repositories for pytorch-lr-finder
Users that are interested in pytorch-lr-finder are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- One cycle policy learning rate scheduler in PyTorch☆46May 16, 2019Updated 6 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,167Mar 22, 2024Updated 2 years ago
- Image Test Time Augmentation with PyTorch!☆1,028Jul 28, 2023Updated 2 years ago
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,568Oct 9, 2025Updated 5 months ago
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆15,286Jun 25, 2025Updated 8 months ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,538Updated this week
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,207Dec 22, 2023Updated 2 years ago
- Over9000 optimizer☆424Nov 22, 2022Updated 3 years ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Jul 31, 2021Updated 4 years ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,324Jan 5, 2026Updated 2 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Feb 25, 2026Updated 3 weeks ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,748Updated this week
- Accelerated deep learning R&D☆3,371Jun 27, 2025Updated 8 months ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,952Updated this week
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,063Mar 2, 2024Updated 2 years ago
- Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)☆73Jun 25, 2022Updated 3 years ago
- Implementations of ideas from recent papers☆391Dec 22, 2020Updated 5 years ago
- scikit-learn cross validators for iterative stratification of multilabel data☆889Oct 12, 2024Updated last year
- A PyTorch implementation of EfficientNet☆8,219Apr 8, 2022Updated 3 years ago
- Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.☆11,414Updated this week
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,109Apr 22, 2022Updated 3 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Oct 10, 2024Updated last year
- Model interpretability and understanding for PyTorch☆5,584Updated this week
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,311Aug 17, 2025Updated 7 months ago
- 🐍 Geometric Computer Vision Library for Spatial AI☆11,121Mar 18, 2026Updated last week
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆331Jun 13, 2022Updated 3 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,438Feb 20, 2026Updated last month
- Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains☆1,731Oct 8, 2023Updated 2 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,584Jun 13, 2024Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,936Mar 17, 2026Updated last week
- Pytorch implementation of convolutional neural network visualization techniques☆8,203Jan 1, 2025Updated last year
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆570Jun 13, 2022Updated 3 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,610Jun 16, 2021Updated 4 years ago
- Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"☆1,068Aug 9, 2024Updated last year
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,986Jun 16, 2024Updated last year
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Jan 1, 2024Updated 2 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,907Jul 23, 2023Updated 2 years ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,752Jan 20, 2026Updated 2 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,294Mar 3, 2024Updated 2 years ago