sayakpaul / Supervised-Contrastive-Learning-in-TensorFlow-2
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
☆132Updated 4 years ago
Alternatives and similar repositories for Supervised-Contrastive-Learning-in-TensorFlow-2:
Users that are interested in Supervised-Contrastive-Learning-in-TensorFlow-2 are comparing it to the libraries listed below
- (Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.☆90Updated 4 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆86Updated 2 years ago
- Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)☆111Updated 3 months ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆142Updated 11 months ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆70Updated 3 years ago
- Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.☆98Updated 3 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆77Updated 3 years ago
- ☆92Updated 4 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆135Updated 4 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- Implementation of Barlow Twins paper☆100Updated 2 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 3 years ago
- Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆96Updated 4 years ago
- ☆57Updated 2 years ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆320Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)☆165Updated 4 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆114Updated 4 years ago
- SpinalNet: Deep Neural Network with Gradual Input☆172Updated 10 months ago
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆84Updated 3 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254Updated last year
- A Simple pytorch implementation of GradCAM and GradCAM++☆85Updated 4 years ago
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- Code to train the SimSiam model on cifar10 using PyTorch☆40Updated 3 years ago
- Pytorch code for multi-Instance multi-label problem☆53Updated 6 years ago
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- This repository is for coding exercises listed in Book Hands on One Shot Learning.☆110Updated 2 years ago