Elvis_Zhang's repositories

alphalens

Performance analysis of predictive (alpha) stock factors

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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

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Bilibili-plus

课程视频、PPT和源代码:侯捷C++系列;台大郭彦甫MATLAB

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cs-self-learning

计算机自学指南

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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

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export_fig

A MATLAB toolbox for exporting publication quality figures

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FibonacciForHacktoberFest

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

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gplearn

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

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irfu-matlab

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

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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.

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matlabPlotCheatsheet

A cheatsheet for those who plot with MATLAB

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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.

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pyspedas

SPEDAS routines for Python

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qstrader

QuantStart.com - QSTrader backtesting simulation engine.

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ramsesGPU

Astrophysics MHD simulation code optimized for large cluster of GPU

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Reading-Notes

Rachel的读书笔记

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subcritical-MHD-sims

subcritical MHD turbulence simulations with Blakesley Burkhart (2020)

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TeachYourselfCS-CN

TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

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Technical-Interview-Megarepo

Study materials for SE/CS technical interviews

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WarpX

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

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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.

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