sayakpaul / MLP-Mixer-CIFAR10
Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.
☆54Updated 2 years ago
Alternatives and similar repositories for MLP-Mixer-CIFAR10:
Users that are interested in MLP-Mixer-CIFAR10 are comparing it to the libraries listed below
- ☆24Updated 2 years ago
- ☆72Updated 2 years ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆60Updated 3 years ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.☆42Updated 2 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- ☆48Updated 9 months ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆124Updated 11 months ago
- An open source implementation of CLIP.☆32Updated 2 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆34Updated 2 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆32Updated 2 years ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆69Updated 3 years ago
- ☆36Updated 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
- Neural Arithmetic Logic Units by Trask et al.☆12Updated 5 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆82Updated 3 years ago
- Domain Adaptation☆23Updated 3 years ago
- Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.☆12Updated last year
- The most parameter efficient machine learning models on a few popular benchmarks☆42Updated 2 years ago
- JAX implementation of Learning to learn by gradient descent by gradient descent☆26Updated 3 months ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 3 months ago
- Sharpness-Aware Minimization for Efficiently Improving Generalization☆41Updated 2 years ago
- Team [Save the Prostate] - solution☆18Updated 3 years ago
- Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.☆97Updated 3 years ago
- 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
- Sharpened Cosine Distance implementation in PyTorch☆10Updated 2 years ago
- TensorFlow implementation of involution.☆13Updated 3 years ago