SLAMPAI / large-scale-pretraining-transferLinks
Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)
☆18Updated 3 years ago
Alternatives and similar repositories for large-scale-pretraining-transfer
Users that are interested in large-scale-pretraining-transfer are comparing it to the libraries listed below
Sorting:
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)☆41Updated 3 years ago
- This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".☆41Updated 2 years ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 5 years ago
- An open source implementation of CLIP.☆33Updated 2 years ago
- Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.☆29Updated 5 years ago
- understanding model mistakes with human annotations☆106Updated 2 years ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆106Updated 2 years ago
- Implementation of semi-supervised learning using PyTorch Lightning☆14Updated last year
- TF 2.x implementation of MoCo v1 (Momentum Contrast for Unsupervised Visual Representation Learning, CVPR 2020) and MoCo v2 (Improved Bas…☆27Updated 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 5 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆79Updated 3 years ago
- Implementation of FixMatch in PyTorch and experimentations☆12Updated 5 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆31Updated 3 years ago
- ☆47Updated 2 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆57Updated 3 years ago
- Gifsplanation - Explaining neural networks with gifs!☆27Updated last year
- Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch☆54Updated 4 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Updated 5 years ago
- To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory avail…☆100Updated 2 years ago
- ☆54Updated 3 years ago
- 2nd place solution for the RSNA STR Pulmonary Embolism Detection competition on Kaggle.☆29Updated 4 years ago
- ImageNet-12k subset of ImageNet-21k (fall11)☆21Updated 2 years ago
- Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.☆85Updated 4 years ago
- A repository to house some personal attempts to beat some state-of-the-art for medical datasets☆100Updated last year
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆141Updated 6 months ago
- A regular Tiramisu network for PyTorch with a LOT of extra features!☆42Updated 4 years ago
- Fine-grained ImageNet annotations☆30Updated 5 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Updated 6 years ago