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alg_design

Java implementations of algorithms and structures from "Algorithm Design" by Kleinberg and Tardos.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

audio-lab3

DTW语音识别，HMM-GMM语音识别

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

bbcspider

Spider would crawl all the bbc news from bbc.co.uk

bookdown-ruc

Thesis template for Renmin University of China

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

computer

cppcoreguidelines-zh-cn

Translation of C++ Core Guidelines [https://github.com/isocpp/CppCoreGuidelines] into Simplified Chinese.

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

data-science-competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

digital-speech-recognition

A simple speech recognition on digital from zero to ten with DTW, GMM and HMM

ecg_pytorch

ecg classfication

gnnpapers

Must-read papers on graph neural networks (GNN)

google-access-helper

谷歌访问助手破解版

graph-adversarial-learning

A survey of adversarial attacks and defenses on graph

happy_birthday

isolatedspeechrecognition

A python implementation of isolated word recognition using Hidden Markov Model

kaggle_class_1

七月算法 - Kaggle课程 - Kaggle实战班 课件

kerehmm

Implementations of HMMs in "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition" by Rabiner (1989). Hopefully.

krlpapers

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

machine-learning-session

machine-learning-with-python

Python code for common Machine Learning Algorithms

one

paperlist-for-recommender-systems

Recommender Systems Paperlist that I am interested in