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
HandFoldingNet ✌️ : A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton

HandFoldingNet ✌️ : A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton Wencan Cheng, Jae Hyun Park, Jong

cwc1260 23 Oct 21, 2022
A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks A Research-oriented Federated Learning Library and Benchmark Platform

FedML-AI 175 Dec 01, 2022
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.

ENet This work has been published in arXiv: ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation. Packages: train contains too

e-Lab 344 Nov 21, 2022
A PyTorch Toolbox for Face Recognition

FaceX-Zoo FaceX-Zoo is a PyTorch toolbox for face recognition. It provides a training module with various supervisory heads and backbones towards stat

JDAI-CV 1.6k Jan 06, 2023
Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."

Geometry-Aware Gradient Algorithms for Neural Architecture Search This repository contains the code required to run the experiments for the DARTS sear

18 May 27, 2022
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models

tisane Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships TL;DR: Analysts can use Tisane to author gener

Eunice Jun 11 Nov 15, 2022
Official repository for Fourier model that can generate periodic signals

Conditional Generation of Periodic Signals with Fourier-Based Decoder Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi This repository provides offi

8 May 25, 2022
Official implementation of the paper "Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering"

Light Field Networks Project Page | Paper | Data | Pretrained Models Vincent Sitzmann*, Semon Rezchikov*, William Freeman, Joshua Tenenbaum, Frédo Dur

Vincent Sitzmann 130 Dec 29, 2022
Tutorial: Introduction to Graph Machine Learning, with Jupyter notebooks

GraphMLTutorialNLDL22 Tutorial NLDL22: Introduction to Graph Machine Learning, with Jupyter notebooks This tutorial takes place during the conference

UiT Machine Learning Group 3 Jan 10, 2022
Benchmark spaces - Benchmarks of how well different two dimensional spaces work for clustering algorithms

benchmark_spaces Benchmarks of how well different two dimensional spaces work fo

Bram Cohen 6 May 07, 2022
Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data

Learning Motion Priors for 4D Human Body Capture in 3D Scenes (LEMO) Official Pytorch implementation for 2021 ICCV (oral) paper "Learning Motion Prior

165 Dec 19, 2022
Implementation of Barlow Twins paper

barlowtwins PyTorch Implementation of Barlow Twins paper: Barlow Twins: Self-Supervised Learning via Redundancy Reduction This is currently a work in

IgorSusmelj 86 Dec 20, 2022
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

152 Jan 02, 2023
Fast image augmentation library and an easy-to-use wrapper around other libraries

Albumentations Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to inc

11.4k Jan 09, 2023
face_recognization (FaceNet) + TFHE (HNP) + hand_face_detection (Mediapipe)

SuperControlSystem Face_Recognization (FaceNet) 面部识别 (FaceNet) Fully Homomorphic Encryption over the Torus (HNP) 环面全同态加密 (TFHE) Hand_Face_Detection (M

liziyu0104 2 Dec 30, 2021
SWA Object Detection

SWA Object Detection This project hosts the scripts for training SWA object detectors, as presented in our paper: @article{zhang2020swa, title={SWA

237 Nov 28, 2022
Spatial Single-Cell Analysis Toolkit

Single-Cell Image Analysis Package Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spa

Laboratory of Systems Pharmacology @ Harvard 30 Nov 08, 2022
NEG loss implemented in pytorch

Pytorch Negative Sampling Loss Negative Sampling Loss implemented in PyTorch. Usage neg_loss = NEG_loss(num_classes, embedding_size) optimizer =

Daniil Gavrilov 123 Sep 13, 2022
The official implementation of NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021]. https://arxiv.org/pdf/2101.12378.pdf

NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021] Release Notes The offical PyTorch implementation of NeMo, p

Angtian Wang 76 Nov 23, 2022
Hierarchical Memory Matching Network for Video Object Segmentation (ICCV 2021)

Hierarchical Memory Matching Network for Video Object Segmentation Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kim

Hongje Seong 72 Dec 14, 2022