AdeelH / pytorch-multi-class-focal-lossLinks
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
☆236Updated last year
Alternatives and similar repositories for pytorch-multi-class-focal-loss
Users that are interested in pytorch-multi-class-focal-loss are comparing it to the libraries listed below
Sorting:
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆387Updated last year
- Learning Rate Warmup in PyTorch☆411Updated last month
- ☆462Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss☆333Updated 3 years ago
- A PyTorch Implementation of Focal Loss.☆984Updated 5 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper☆766Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆990Updated 9 months ago
- Unofficial PyTorch Reimplementation of RandAugment.☆637Updated 2 years ago
- Self-supervised vIsion Transformer (SiT)☆337Updated 2 years ago
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆433Updated 9 months ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- PyTorch implementation of some learning rate schedulers for deep learning researcher.☆90Updated 2 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆540Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆143Updated 4 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆421Updated last year
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆169Updated 2 years ago
- Simple pytorch implementation of focal loss☆86Updated 2 years ago
- Image Test Time Augmentation with PyTorch!☆1,017Updated last year
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆493Updated 3 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆305Updated 3 years ago
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆187Updated 4 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆764Updated 4 years ago
- Implementation of Visual Transformer for Small-size Datasets☆124Updated 3 years ago
- When Does Label Smoothing Help?_pytorch_implementationimp☆125Updated 5 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆657Updated 4 years ago
- ☆51Updated 4 years ago
- A LARS implementation in PyTorch☆348Updated 5 years ago
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,075Updated 2 years ago