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ai_study

algorithm-pattern

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

animegan

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

anisette-v3-sidestore

sidestore's anisette-v3 compatible server for side-store signing

bilibili-helper

各种油猴脚本

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

coding-interview-university-zh-tw

coding-interview-university 繁體中文翻譯計畫。原作者：https://github.com/jwasham/coding-interview-university

crnn_chinese_characters_rec

chinese characters recognition

crnn_ctpn_unified

Unified text detection and recognition

cs229-ml-implements

Implements of cs229(Machine Learning taught by Andrew Ng) in python.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dragon-book-practice-answer

编译原理（紫龙书）中文第2版习题答案。Compilers Principles, Techniques, & Toos (purple dragon book) second edition practice answer.

dress

好耶 是女装

gnn_note

图神经网络整理

gnnpapers

Must-read papers on graph neural networks (GNN)

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

imageprocessing100wen

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

jupyter

Jupyter metapackage for installation, docs and chat

live2d-widget

把萌萌哒的看板娘抱回家 (ノ≧∇≦)ノ | Live2D widget for web platform

ljacg.github.io

Gridea_book v1.0

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models

Models and examples built with TensorFlow

mycloud

backup or store some files

myml

My Machine Learning

navigation

My navigation Web site.

package_for_python3.7

Python3.7常用安装包集合，有问题Issues中留言，或者加QQ：908851835

py

my python codes and other learnings

stanford-cs-229-cn

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

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.