Yyingfan

DeepEEG

Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for EEG analysis" at EMBC 2014

RLexample

Some basic examples of playing with RL

introRL

Intro to Reinforcement Learning (强化学习纲要）

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

sktime

A unified framework for machine learning with time series

sktime-dl

DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

tsml-java

Java time series machine learning tools in a Weka compatible toolkit

the-gan-zoo

A list of all named GANs!

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

DeepADoTS

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Iridescent

Solid data structure and algorithms

Waking-Up

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试；可用于模拟面试、面试前复习、短期内快速备战面试...

Graph-Neural-Network-Note

A blog for understanding graph neural network

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

multivariate-prediction

time-series-predictoin(LSTNet,SAB,Transformer...)

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Time-series-prediction

tfts: Time Series Deep Learning Models in TensorFlow

TimeSeriesTransformerLSTM

Python-100-Days

Python - 100天从新手到大师

Crash-Course-Computer-Science-Chinese

:computer: 计算机速成课 | Crash Course 字幕组 (全40集 2018-5-1 精校完成) B站播放量 383万

Time2Graph

Source codes for Time2Graph model.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

Dive-into-DL-PyTorch

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。

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

TimeSeriesAnalysiswithPython

Time Series Analysis with Python

papers_we_read

Summaries for exciting works in the field of Deep Learning.

pytorch-tools

Useful PyTorch functions and modules that are not implemented in PyTorch by default

OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

MSCRED

Multi-Scale Convolutional Recurrent Encoder-Decoder