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halihaliwakaka's Projects

albert icon albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

awesome-ai-algorithm icon awesome-ai-algorithm

人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码

awesome-papers icon awesome-papers

机器学习,深度学习,自然语言处理,计算机视觉方面的顶级期刊会议论文集

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

chinese-poetry icon chinese-poetry

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。

chinesenlpcorpus icon chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

crosssection icon crosssection

Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"

deep-learning icon deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

deeplearning icon deeplearning

Python for “Deep Learning”,《深度学习》(花书) 数学推导、原理剖析与代码实现

interpretablemlbook icon interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版

interview_internal_reference icon interview_internal_reference

2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

js-sorting-algorithm icon js-sorting-algorithm

一本关于排序算法的 GitBook 在线书籍 《十大经典排序算法》,多语言实现。

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

nndl.github.io icon nndl.github.io

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

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

prml icon prml

PRML algorithms implemented in Python

pydata-book icon pydata-book

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

pydata-notebook icon pydata-notebook

利用Python进行数据分析 2017 第二版 (Python for Data Analysis, 2nd Edition)中文翻译笔记

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