A PyTorch library for Vision Transformers

Related tags

Deep Learningvformer
Overview

VFormer

A PyTorch library for Vision Transformers

Getting Started

Read the contributing guidelines in CONTRIBUTING.rst to learn how to start contributing.

Comments
  • Add attention visualization methods

    Add attention visualization methods

    • This article details different ways of visualizing a transformer's attention. It also talks about how such visualizations can aid in explainability of the models.
    • They also provide their code here.
    • We would like to have such visualization methods in the viz module.
    good first issue 
    opened by NeelayS 7
  • Remove _Projection class

    Remove _Projection class

    We can replace _Projection class with a one-liner if-else statement.

    Should we replace it with if-else or should we keep the current implementation?

    cc: @NeelayS @aditya-agrawal-30502 @alvanli

    opened by abhi-glitchhg 6
  • Enhanced docstring

    Enhanced docstring

    During the last PR (#45), I had to revert back because of compatibility issues

    In this PR I have added some docstrings and Minor changes like changing variable names

    this PR is the same as - #48 with edited title :)

    @NeelayS

    opened by abhi-glitchhg 3
  • Restructuring AbsolutePositionEmbedding class

    Restructuring AbsolutePositionEmbedding class

    AbsolutePositionEmbedding class was structured specifically for the PVT, but we can use it in other models too if we re-structure it properly, it should also support sinusoidal position embedding or a separate class for Sinusoidal embedding also works.

    enhancement 
    opened by abhi-glitchhg 2
  • Add sharpness-aware optimizer

    Add sharpness-aware optimizer

    This paper describes how promoting smoothness with a recently proposed sharpness-aware optimizer substantially improves the performance of ViTs.

    It would be good to have an implementation of this optimizer in our library. It would fit in the functional module.

    A couple of PyTorch implementations are here and here.

    opened by NeelayS 2
  • Documentation related to visualization methods

    Documentation related to visualization methods

    I have added some fixes for page breaks in #86.

    Still, we need to enhance the docs for visualization methods.
    We can include the license/copyright disclaimer for visualization methods in our license or have a separate file.

    Additionally, we can add the sample outputs from these methods into the doc.

    CC : @NeelayS @aditya-agrawal-30502 @alvanli

    documentation enhancement good first issue 
    opened by abhi-glitchhg 1
  • [Paper] Visual Attention Network

    [Paper] Visual Attention Network

    paper - https://arxiv.org/abs/2202.09741 code- https://github.com/Visual-Attention-Network/VAN-Classification https://github.com/Visual-Attention-Network/VAN-Segmentation

    Paper implementation 
    opened by abhi-glitchhg 0
Releases(v0.1.3)
Owner
Society for Artificial Intelligence and Deep Learning
Society for Artificial Intelligence and Deep Learning
GitHub Repository
Projects of Andfun Yangon

AndFunYangon Projects of Andfun Yangon First Commit We can use gsearch.py to sea

Htin Aung Lu 1 Dec 28, 2021
Source code of our BMVC 2021 paper: AniFormer: Data-driven 3D Animation with Transformer

AniFormer This is the PyTorch implementation of our BMVC 2021 paper AniFormer: Data-driven 3D Animation with Transformer. Haoyu Chen, Hao Tang, Nicu S

24 Nov 02, 2022
rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle.

rastrainer rastrainer is a QGIS plugin to training remote sensing semantic segmentation model based on PaddlePaddle. UI TODO Init UI. Add Block. Add l

deepbands 5 Mar 04, 2022
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation This project attempted to implement the paper Putting NeRF on a

254 Dec 27, 2022
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience This repository is the official implementation of [https://www.bi

Eulerlab 6 Oct 09, 2022
DL & CV-based indicator toolset for the vehicle drivers via live dash-cam footage.

Vehicle Indicator Toolset Deep Learning and Computer Vision based indicator toolset for vehicle drivers using live dash-cam footages. Tracking of vehi

Alex Xu 12 Dec 28, 2021
A state of the art of new lightweight YOLO model implemented by TensorFlow 2.

CSL-YOLO: A New Lightweight Object Detection System for Edge Computing This project provides a SOTA level lightweight YOLO called "Cross-Stage Lightwe

Miles Zhang 54 Dec 21, 2022
SOTR: Segmenting Objects with Transformers [ICCV 2021]

SOTR: Segmenting Objects with Transformers [ICCV 2021] By Ruohao Guo, Dantong Niu, Liao Qu, Zhenbo Li Introduction This is the official implementation

186 Dec 20, 2022
Code for CVPR 2021 paper: Anchor-Free Person Search

Introduction This is the implementationn for Anchor-Free Person Search in CVPR2021 License This project is released under the Apache 2.0 license. Inst

158 Jan 04, 2023
Racing line optimization algorithm in python that uses Particle Swarm Optimization.

Racing Line Optimization with PSO This repository contains a racing line optimization algorithm in python that uses Particle Swarm Optimization. Requi

Parsa Dahesh 6 Dec 14, 2022
PyTorch implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Release Notes The official PyTorch implementation of Neural View S

Angtian Wang 20 Oct 09, 2022
A PyTorch implementation of a Factorization Machine module in cython.

fmpytorch A library for factorization machines in pytorch. A factorization machine is like a linear model, except multiplicative interaction terms bet

Jack Hessel 167 Jul 06, 2022
Dynamic View Synthesis from Dynamic Monocular Video

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer This repository contains code to compute depth from a

Intelligent Systems Lab Org 2.3k Jan 01, 2023
Paper Code：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection

1. SaWDE.m is the main function 2. DataPartition.m is used to randomly partition the original data into training sets and test sets with a ratio of 7

wangxb 14 Dec 08, 2022
Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)

Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021) Overview of paths used in DIG and IG. w is the word being attributed. The

INK Lab @ USC 17 Oct 27, 2022
A flexible framework of neural networks for deep learning

Chainer: A deep learning framework Website | Docs | Install Guide | Tutorials (ja) | Examples (Official, External) | Concepts | ChainerX Forum (en, ja

Chainer 5.8k Jan 06, 2023
Implementation of Uformer, Attention-based Unet, in Pytorch

Uformer - Pytorch Implementation of Uformer, Attention-based Unet, in Pytorch. It will only offer the concat-cross-skip connection. This repository wi

Phil Wang 72 Dec 19, 2022
A3C LSTM Atari with Pytorch plus A3G design

NEWLY ADDED A3G A NEW GPU/CPU ARCHITECTURE OF A3C FOR SUBSTANTIALLY ACCELERATED TRAINING!! RL A3C Pytorch NEWLY ADDED A3G!! New implementation of A3C

David Griffis 532 Jan 02, 2023
An algorithm study of the 6th iOS 10 set of Boost Camp Web Mobile

알고리즘 스터디 🔥 부스트캠프 웹모바일 6기 iOS 10조의 알고리즘 스터디 입니다. 개인적인 사정 등으로 S034, S055만 참가하였습니다. 스터디 목적 상진: 코테 합격 + 부캠끝나고 아침에 일어나기 위해 필요한 사이클 기완: 꾸준하게 자리에 앉아 공부하기 +

2 Jan 11, 2022
Tools for computational pathology

A toolkit for computational pathology and machine learning. View documentation Please cite our paper Installation There are several ways to install Pa

254 Dec 12, 2022