sayakpaul / Sharpness-Aware-Minimization-TensorFlow
Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
☆60Updated 3 years ago
Alternatives and similar repositories for Sharpness-Aware-Minimization-TensorFlow:
Users that are interested in Sharpness-Aware-Minimization-TensorFlow are comparing it to the libraries listed below
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆54Updated 2 years ago
- Simple stochastic weight averaging callback for Keras☆63Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆62Updated 4 years ago
- Python implementation of GLN in different frameworks☆97Updated 4 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆83Updated 3 years ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 3 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆76Updated 3 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax☆127Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 7 months ago
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆86Updated 2 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆106Updated 2 years ago
- Collection of snippets for PyTorch users☆25Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆69Updated 3 years ago
- Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.☆45Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆213Updated last year
- Official code for the Stochastic Polyak step-size optimizer☆138Updated 7 months ago
- ☆36Updated 3 years ago
- Manifold-Mixup implementation for fastai V1☆19Updated 4 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆44Updated 4 years ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- ☆77Updated 4 years ago
- ☆12Updated 4 years ago
- ☆153Updated 4 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 3 years ago