ayulockin / DataAugmentationTF
Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
☆34Updated 4 years ago
Alternatives and similar repositories for DataAugmentationTF:
Users that are interested in DataAugmentationTF are comparing it to the libraries listed below
- Transformer block in tf.keras similar to PyTorch's nn.Transformer block.☆9Updated 4 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Updated 5 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
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 3 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- ☆24Updated 2 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 4 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆85Updated 3 years ago
- Code for Neural Style Transfer.☆12Updated 4 years ago
- Team [Save the Prostate] - solution☆18Updated 4 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- An Easy To Use PyTorch Computer Vision Library☆51Updated last year
- Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.☆45Updated 3 years ago
- Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.☆42Updated 2 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆56Updated 2 years ago
- This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.☆36Updated 2 years ago
- Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)☆24Updated 4 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆60Updated 3 years ago
- An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data☆37Updated 3 years ago
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆86Updated 2 years ago
- Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)☆40Updated 3 years ago
- chaii: hindi and tamil question answering☆35Updated 3 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 4 years ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- A Simple but Powerful CNN Trainer For PyTorch☆26Updated 4 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- Implements RNNPool and SoftPool for CNNs.☆14Updated 4 years ago
- This project presents a simple framework to retrieve images similar to a query image.☆28Updated 3 years ago
- Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.☆55Updated 4 years ago