sayakpaul / Barlow-Twins-TF
TensorFlow implementation of Barlow Twins (https://arxiv.org/abs/2103.03230).
☆41Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Barlow-Twins-TF
- Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.☆45Updated 3 years ago
- Tutorial on training a PyTorch neural network model using MLflow for experiment tracking & Optuna for hyperparameter optimization.☆28Updated last year
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆34Updated 2 years ago
- Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)☆109Updated 2 years ago
- Example unit tests for deep learning projects.☆36Updated 4 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆85Updated 2 years ago
- ☆24Updated 2 years ago
- A PyTorch only inference wrapper for fastai☆12Updated last year
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆75Updated 2 years ago
- ☆10Updated 2 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆54Updated 2 years ago
- This project presents a simple framework to retrieve images similar to a query image.☆26Updated 3 years ago
- notebooks of cool EBM visualizations☆16Updated 3 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆61Updated 3 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆35Updated 4 years ago
- ☆14Updated 2 years ago
- (Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.☆90Updated 3 years ago
- Contains Colab Notebooks show cool use-cases of different GCP ML APIs.☆10Updated 4 years ago
- Implements RNNPool and SoftPool for CNNs.☆14Updated 3 years ago
- This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.☆36Updated 2 years ago
- This codebase is a starting point to get your Machine Learning project into Production.☆43Updated 3 years ago
- Companion code for a tutorial on using Hydra.☆27Updated 3 years ago
- Domain Adaptation☆23Updated 2 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.☆41Updated 2 years ago
- Semantic Segmentation with Pytorch-Lightning☆63Updated 3 years ago
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆24Updated 2 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).☆13Updated 4 years ago