sayakpaul / AdaMatch-TFLinks
Includes additional materials for the following keras.io blog post.
☆12Updated 4 years ago
Alternatives and similar repositories for AdaMatch-TF
Users that are interested in AdaMatch-TF are comparing it to the libraries listed below
Sorting:
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆53Updated 4 years ago
- An open source implementation of CLIP.☆32Updated 2 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Updated 6 years ago
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 3 years ago
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 3 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 4 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- ☆8Updated last year
- A simple implementation of a deep linear Pytorch module☆21Updated 4 years ago
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- Library for converting from RGB / GrayScale image to base64 and back.☆19Updated 2 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- Implements RNNPool and SoftPool for CNNs.☆14Updated 4 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 5 years ago
- CoaT: Co-Scale Conv-Attentional Image Transformers☆16Updated 4 years ago
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆30Updated 2 years ago
- Implementation of Multistream Transformers in Pytorch☆54Updated 3 years ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 5 years ago
- Implementing DropPath/StochasticDepth in PyTorch☆16Updated 3 years ago
- TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).☆53Updated 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
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 9 months ago
- Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch☆14Updated 4 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 4 years ago
- Bag of MLP☆20Updated 4 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago