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100-days-of-ml-code

100 Days of ML Coding

captcha_crack

选字验证码破解，试验过网易和极验，破解率99

castor

castor

cnn-mar

Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography

corpredit

国家企业信用信息官网爬虫，未获取全部企业信息，重点在设计反爬思路

ct-metal-artifacts

CT Metal Artifact Simulation

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores is used)

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

eigen-git-mirror

THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen

generative_inpainting

Generative Image Inpainting with Contextual Attention https://arxiv.org/abs/1801.07892, demo http://jiahuiyu.com/deepfill

gitskills

interpolation.py

interpy-zh

📘《Python进阶》（Intermediate Python 中文版）

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

interview-notes

包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识

jspdf

Client-side JavaScript PDF generation for everyone.

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras_frcnn

Keras Implementation of faster-rcnn

learngit

libpku

北京大学课程资料整理

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

manim

Animation engine for explanatory math videos

marchingcube

迷之Marching Cube算法，一开始以为只能用于基于CT的网格重构，结果发现拓展下还能作为很多数据形式的网格重构算法=。=

models

Models and examples built with TensorFlow

nlp-beginner

NLP上手教程

os_course_info

os course info