224 Open source projects that are alternatives of or similar to visual-compatibility

pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)

Finetuning any DNN for better embedding on neural search tasks

Keras and Tensorflow implementation of Siamese Recurrent Architectures for Learning Sentence Similarity

Visualization tool for Graph Neural Networks

web scraping tool for grailed.com

odr.chalmers.se/handle/20.500.12380/256629?locale=en

awesome few shot / meta learning papers

Fashion item segmentation with deep learning

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

Disentagnled Graph Collaborative Filtering, SIGIR2020

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).

Experiment with "one-shot learning" techniques to recognize a voice signature

A MNIST-like fashion product database. Benchmark 👇

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Challenge the customer to shop task with tripletNet

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

Accelerated deep learning R&D

Code and resources on scalable and efficient Graph Neural Networks

Deep metric learning methods implemented in Chainer

Awesome Few-shot learning

Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

[CVPR'19] End-to-end Projector Photometric Compensation

Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

pytorch implementation of the TwinBert paper

Fashion inspiration and shopping app helping you wear that's in style. Made with Typescript & ReactNative.

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

A website to help you establish a wardrobe.

A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]

Fashion Landmark Estimation with HRNet

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Calculate your carbon footprint 🏭👣 from food, transport, purchases, fashion, electricity and digital activities like streaming, NFT or blockchain.

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

Demo of RouteNet in ACM SIGCOMM'19

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Dialect identification using Siamese network

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain.

SegSort: Segmentation by Discriminative Sorting of Segments

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Code for the CHAMPS Predicting Molecular Properties Kaggle competition