k15201363625 Goto Github PK

learn_dl

Deep learning algorithms source code for beginners

learngitbranching

An interactive git visualization to challenge and educate!

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

mimikatz

A little tool to play with Windows security

mucko

my_acm_model

some common code models for acm cotenst

mydeeplearning_practice

deeplearning practice with tensorflow1.12 from mooc course.

mygolearn

golearncode repo

myspider

myspider_project

ncspider

A Scrapy Project 中文门户网站新闻和评论抓取，Star 过10就优化重构

neveryu.github.io

我的博客（Hexo + NexT + GitPage）

ntu-machine-learning

**大学李宏毅老师机器学习

oi-wiki

:star2: Wiki for OI / ICPC. （某大型游戏线上攻略，内含炫酷算术魔法）

pattern-recognition-implementation

Python implementation classic machine learning model based on Homework of 2018 spring Tsinghua Pattern Recognition course

pattern-recognize

Homework of Pattern Recognize, Tsinghua Univ, 70250043 (graduate)

pattern_recognition_projects

implementation of classical pattern recognition algorithm

pictures_of_markdown

Pictures for MarkDown or other applications.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rekcarc-tsc-uht

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

rms-support-letter.github.io

An open letter in support of Richard Matthew Stallman being reinstated by the Free Software Foundation

sharedcourses

大学课程共享计划整理

sjtu-courses

上海交通大学课程资料分享

syzoj

一个用于算法竞赛的在线评测系统。An online judge system for algorithm competition.

thu-hole

All data publicated in THU tree hole during 2020 Spring to 2021 Winter.

toefl_laylalaisy

备考托福的一丢丢经验+资料~祝小可爱和大佬们都早日和托福大魔王分手(o゜▽゜)o☆

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.