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2018-iflytek-marketing-algorithms-competition-finals-rank1

2018科大讯飞营销算法大赛（冠军方案）

4675-scifi

chinese NLP corpus of chinese science fiction,chinese science fiction corpus : About 4675 Chinese science fiction novels 大约有4675本科幻小说，中文科幻小说自然语言处理语料库，中文科幻小说文本语料库，中文科幻小说文本数据库，科幻小说语料

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理等热门领域

ai-paper-drawer

人工智能论文关键点集结。This project aims to collect key points of AI papers.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

bookdata

Python 和数据科学学习笔记

chinese_ocr

OCR of Handwritten Chinese character resume

class-agnostic-counting

Reproduction of Class-Agnostic Counting Papers (using pytorch method)

clearest-leetcode-cpp-solutions

Clearest LeetCode C++ Solutions. 本项目追求思路清晰，代码简洁。This project is intended to clarify the general problem solving ideas

coding_interviews

《剑指Offer》题目汇总&常考题总结(Python实现)

data-science-from-scratch

code for Data Science From Scratch book

data-science-notes

数据科学的笔记以及资料搜集

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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[email protected] 版权所有，违权必究 Tan 2018.06

fe4ml-zh

:book: [译] 面向机器学习的特征工程

kg-beijing

北京知识图谱学习小组

knowledgegraphcourse

东南大学《知识图谱》研究生课程

labeling

labeling images and drawing bounding box

lihang-code

《统计学习方法》的代码实现

machine-learning-notebook

A PC program that provides one AI note per day to help accumulate AI knowledge

machine-learning-pro

machinelearning

Basic Machine Learning and Deep Learning

ml-weekly-learning

一群 ML 自学者的日常

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

note-of-interview

《互联网面试笔记》收集和分析互联网常见面试题，并将这些面试知识整理成文方便大家查阅。主要是面向java程序员，但基础知识部分不同语言程序员(c,c++,python等）都可以参考。---持续更新中, 欢迎编辑~

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python

All Algorithms implemented in Python