mwdhont / SimCLRv1-keras-tensorflowLinks
Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)
☆111Updated 5 months ago
Alternatives and similar repositories for SimCLRv1-keras-tensorflow
Users that are interested in SimCLRv1-keras-tensorflow are comparing it to the libraries listed below
Sorting:
- (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
- Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.☆98Updated 4 years ago
- Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.☆132Updated 4 years ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆70Updated 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
- TensorFlow Implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆27Updated 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
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆139Updated 4 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
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆100Updated 4 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Some State-of-the-Art few shot learning algorithms in tensorflow 2☆214Updated last year
- ☆155Updated last year
- Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer☆40Updated 4 years ago
- TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).☆41Updated 3 years ago
- Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆97Updated 4 years ago
- Time Series package for fastai v2☆95Updated 2 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆132Updated last year
- Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations☆89Updated 4 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆60Updated 3 years ago
- Code you can use jointly with fastai☆93Updated 4 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆56Updated 2 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago