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A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
Mixture of experts layers for Keras
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
Download City Scapes Dataset using this script
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
🤘 awesome-semantic-segmentation
PyTorch Implementations for DeeplabV3 and PSPNet
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
PyTorch code for training EfficientPS for Panoptic Segmentation
🍎记录个人在找工作时，所刷算法题的汇总，主要使用了Python和C++。包括：《剑指offer》、《程序员面试金典》、《LeetCode》、《牛客网》、《Codewars》。
Repository for the paper "Monocular 3D Vehicle Detection Using Uncalibrated Traffic Camerasthrough Homography"
基于视频的目标检测算法研究 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
This is an official repository of End-to-end Lane Shape Prediction with Transformers.
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"
Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
PyTorch extensions for high performance and large scale training.
2d Deep Reinforcement Learning environment with Carla
A collection of Audio and Speech pre-trained models.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A C++ implement of intersection over union (IoU) ratio calculation.
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification
Simultaneous object detection and tracking using center points.