Popular GitHub Repositories for Fashion

Collection of generative models in Tensorflow

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

Collection of generative models in Pytorch version.

The collection of pre-trained, state-of-the-art AI models for ailia SDK

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

A repository to curate and summarise research papers related to fashion and e-commerce

Experiments for understanding disentanglement in VAE latent representations

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

This repo contains code and a pre-trained model for clothes segmentation.

????? Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Fashion Detection in the Wild (Deep Clothes Detector)

This is the official repository for the paper "Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing". ICCV 2023

FashionCLIP is a CLIP-like model fine-tuned for the fashion domain.

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. ? Best Paper Awards @ NeurIPS ML Safety Workshop 2022

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

A clothing retrieval and visual recommendation model for fashion images.

?Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.