fcakyon / balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
☆94Updated 3 months ago
Alternatives and similar repositories for balanced-loss:
Users that are interested in balanced-loss are comparing it to the libraries listed below
- ModelSoups for Tensorflow2 and Torch☆48Updated 2 years ago
- Kaggle HubMap☆37Updated 3 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆119Updated 7 months ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆168Updated 2 years ago
- ☆31Updated 2 years ago
- Implementing PolyLoss in Pytorch☆76Updated 2 years ago
- Implementation of the Siamese Neural Networks in PyTorch using MNIST dataset☆34Updated last year
- Self-Supervised Learning in PyTorch☆135Updated last year
- Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification☆70Updated 2 years ago
- Loss function Package Tensorflow Keras PyTOrch☆53Updated last year
- The missing distributed weighted random sampler for PyTorch☆24Updated 2 years ago
- [kaggle] 3rd place solution☆32Updated 4 years ago
- This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies in…☆156Updated 2 years ago
- Solution of Kaggle competition: Sartorius - Cell Instance Segmentation☆85Updated 3 years ago
- 6th place solution☆22Updated 2 years ago
- A Keras implementation of hybrid efficientnet swin transformer model.☆33Updated last year
- PyTorch implementation of Robust Subspace Recovery Layer for Unsupervised Anomaly Detection https://arxiv.org/abs/1904.00152☆14Updated 3 years ago
- Visualizer for PyTorch image models☆44Updated 3 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- Supervised and semi-supervised image classification with self-supervised regularization.☆36Updated 2 years ago
- Matthews Correlation Coefficient Loss implementation for image segmentation.☆12Updated 4 years ago
- Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification☆37Updated last year
- ☆66Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…☆108Updated 2 years ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆368Updated 2 years ago
- Pytorch cyclic cosine decay learning rate scheduler☆48Updated 3 years ago
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 2 years ago
- Implementation of Visual Transformer for Small-size Datasets☆119Updated 3 years ago
- Integrate image and tabular data for deep learning☆88Updated last year