Richard's repositories
ComfyUI
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
HunyuanDiT
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
semantic-segmentation
Nvidia Semantic Segmentation monorepo
SynthText_Chinese_version
Modify from https://github.com/ankush-me/SynthText.git to generate chinese character
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
taobao_auto_buy
taobao auto buy 淘宝定时下单工具
kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
PaddleOCR
Awesome OCR toolkits based on PaddlePaddle (8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices)
DB
A PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
Decoupled-attention-network
Pytorch implementation for "Decoupled attention network for text recognition".
awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
CRAFT-Reimplementation
CRAFT-Pyotorch:Character Region Awareness for Text Detection Reimplementation for Pytorch
Seq2SeqAdapt
Adversarial Sequence-to-sequence Domain Adaptation Network dubbed ASSDA for robust text image recognition
SynthText
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
jd-assistant
京东抢购助手:包含登录,查询商品库存/价格,添加/清空购物车,抢购商品(下单),查询订单等功能
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
research-charnet
CharNet: Convolutional Character Networks
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
leetcode
LeetCode Problems' Solutions
23333
草 我要被爆破叻
pythia
A modular framework for Visual Question Answering research by the FAIR A-STAR team
Awesome-Scene-Text-Recognition
A curated list of resources dedicated to scene text localization and recognition
NucleiDetectron
10th Place (currently 7th place while leaderboard is being updated) solution for the 2018 Data Science Bowl with a score of 0.591
Document
📘 各种编程学习资料 (Android C C++ DataBase HTML5 JavaWeb ios python uml 人工智能 操作系统 数学 数据结构 程序员需要的技术 程序设计 编译原理 计算机组成与结构 计算机网络 设计模式 软件工程 面试经验)