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Xue Wen's Projects

deep_ocr icon deep_ocr

make a better chinese character recognition OCR than tesseract

deeplearning.ai icon deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearning.ai-1 icon deeplearning.ai-1

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

deeplearning.ai-note icon deeplearning.ai-note

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”,这是自己做的一些笔记以及代码。下为网易云学习链接

deeplearning.ai-summary icon deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

deit icon deit

Official DeiT repository

dekr icon dekr

This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detectors icon detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

detectron.pytorch icon detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

detr icon detr

End-to-End Object Detection with Transformers

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dlib icon dlib

A toolkit for making real world machine learning and data analysis applications in C++

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

dota-doai_fork icon dota-doai_fork

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

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