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alphalens

Performance analysis of predictive (alpha) stock factors

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

bilibili-plus

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

cs-self-learning

计算机自学指南

cs_study_plan

一份硬核(hardcore)计算机科学CS自学计划，偏向软件工程和系统架构方向

export_fig

A MATLAB toolbox for exporting publication quality figures

fibonacciforhacktoberfest

Implement Fibonacci series upto 10th Term in language and method of your choice. Be as creative as you can. Eligible for Hacktoberfest 2020

gplearn

Genetic Programming in Python, with a scikit-learn inspired API

irfu-matlab

Matlab routines to work with space data, particularly with MMS and Cluster/CAA data. Also some general plasma routines.

jianzhang

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

matlabplotcheatsheet

A cheatsheet for those who plot with MATLAB

pic-skeleton-codes

A fully-functional but succinct Particle-In-Cell Plasma Simulation codebase with several parallel implementations (MPI, OpenMP, SSE, CUDA). This code is meant to highlight the core PIC algorithms, especially issues around parallelization, by implementing a minimal number of features in favor of clarity, ease of use, and extensibility.

pictures

pyspedas

SPEDAS routines for Python

qstrader

QuantStart.com - QSTrader backtesting simulation engine.

ramsesgpu

Astrophysics MHD simulation code optimized for large cluster of GPU

reading

reading-notes

Rachel的读书笔记

recruitment-information

subcritical-mhd-sims

subcritical MHD turbulence simulations with Blakesley Burkhart (2020)

teachyourselfcs-cn

TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

technical-interview-megarepo

Study materials for SE/CS technical interviews

warpx

WarpX is an advanced electromagnetic Particle-In-Cell code.

wind-energy-analysis-and-forecast-using-deep-learning-lstm

A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.