《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

把极客时间装进 Kindle

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Codebase for testing whether hidden states of neural networks encode discrete structures.

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

📓Solutions to Introduction to Algorithms

❤️中国科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

PRML algorithms implemented in Python

关于Python的面试题

The most cited deep learning papers

scikit-learn: machine learning in Python

all kinds of text classification models and more with deep learning