Separius / awesome-fast-attentionLinks
list of efficient attention modules
☆1,012Updated 4 years ago
Alternatives and similar repositories for awesome-fast-attention
Users that are interested in awesome-fast-attention are comparing it to the libraries listed below
Sorting:
- Some tricks of pytorch...☆1,194Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,991Updated 2 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,110Updated 2 years ago
- some tircks for PyTorch☆576Updated 5 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,251Updated 11 months ago
- Debug PyTorch code using PySnooper☆800Updated 4 years ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,290Updated last year
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,627Updated 2 years ago
- My best practice of training large dataset using PyTorch.☆1,104Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆992Updated 11 months ago
- [ICLR 2020] Lite Transformer with Long-Short Range Attention☆611Updated last year
- A PyTorch Implementation of Focal Loss.☆987Updated 5 years ago
- A quickstart and benchmark for pytorch distributed training.☆1,665Updated last year
- pytorch memory track code☆1,018Updated 4 years ago
- My take on a practical implementation of Linformer for Pytorch.☆420Updated 3 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Pytorch library for fast transformer implementations☆1,737Updated 2 years ago
- ☆882Updated last year
- knowledge distillation papers☆762Updated 2 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆758Updated 4 years ago
- A list of multi-task learning papers and projects.☆381Updated 3 years ago
- A curated list of resources for Learning with Noisy Labels☆2,713Updated 5 months ago
- An All-MLP solution for Vision, from Google AI☆1,047Updated 2 months ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,203Updated last year
- A curated list of papers, code and resources pertaining to zero shot learning☆931Updated 4 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,330Updated 4 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,847Updated last year
- DeLighT: Very Deep and Light-Weight Transformers☆468Updated 4 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆721Updated 3 years ago