sadimanna / simclr_pytorch
Implementation of SimCLR in PyTorch
☆13Updated 3 years ago
Alternatives and similar repositories for simclr_pytorch:
Users that are interested in simclr_pytorch are comparing it to the libraries listed below
- PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022☆48Updated 2 years ago
- Implementation of "Unsupervised Visual Representation Learning by Context Prediction" by C. Doersh, A. Gupta and A. A. Efros☆24Updated 3 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆34Updated last year
- Official Pytorch implementation of the paper DeScarGAN☆31Updated 4 years ago
- This repo contains code for SimCLR : A Simple Framework for Contrastive Learning of Visual Representations☆17Updated 3 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆40Updated 5 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- the re-implementation of Score CAM with pytorch☆52Updated 5 years ago
- This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selva…☆44Updated 2 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 4 years ago
- ☆27Updated 2 years ago
- [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…☆32Updated 2 years ago
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆78Updated 3 years ago
- Explainable CNN (XCNN)☆16Updated 4 years ago
- ☆66Updated 3 years ago
- A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners☆78Updated 2 years ago
- PyTorch reimplementation of GradCAM saliency method.☆25Updated 6 years ago
- Pytorch implementation of various neural network interpretability methods☆115Updated 3 years ago
- ☆33Updated 3 years ago
- ☆19Updated 5 years ago
- Matthews Correlation Coefficient Loss implementation for image segmentation.☆12Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- ☆90Updated 2 years ago
- ☆56Updated last year
- The official code of Relevance-CAM☆41Updated last year
- Implementation of Visual Transformer for Small-size Datasets☆119Updated 3 years ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 3 years ago
- SiT: Self-supervised vision Transformer☆19Updated 3 years ago
- SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping☆98Updated last year
- Multi-label Classification using PyTorch on the CelebA dataset.☆25Updated 5 years ago