DQDH's starred repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
PaddleNLP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
DeepFashion2
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
CPM-1-Generate
Chinese Pre-Trained Language Models (CPM-LM) Version-I
ThinkMatch
A research protocol for deep graph matching.
Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
cloth-segmentation
This repo contains code and a pre-trained model for clothes segmentation.
vision-transformer-pytorch
Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.
project-bodypix
BodyPix model demo application for Google Coral
ClothingTransfer-NCNN
CT-Net, OpenPose, LIP_JPPNet, DensePose running with ncnn⚡服装迁移/虚拟试穿⚡ClothingTransfer/Virtual-Try-On⚡
youtube-8m
Code of PhoenixLin(3rd place) in the 2nd Youtube8M Video Understanding Challenge
huggingface-cloth-segmentation
Huggingface cloth segmentation using U2NET
simple-aesthetics-predictor
CLIP-based aesthetics predictor inspired by the interface of 🤗 huggingface transformers.
Multi-task-Text-Classification-in-Deep-Learning
深度学习项目之多任务文本分类
Semantic-Segmentation-for-Clothing
Using a U-Net model to segment clothing items in an image