dosvidos's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
trekhleb/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
TheAlgorithms/Python
All Algorithms implemented in Python
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
nicolargo/glances
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
keon/algorithms
Minimal examples of data structures and algorithms in Python
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
trekhleb/learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
leandromoreira/digital_video_introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Unity-Technologies/UnityCsReference
Unity C# reference source code.
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
MattPD/cpplinks
A categorized list of C++ resources.
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tradytics/eiten
Statistical and Algorithmic Investing Strategies for Everyone
fmilthaler/FinQuant
A program for financial portfolio management, analysis and optimisation.
MarkLodato/visual-git-guide
A visual guide to git.
justinmeiners/lc3-vm
Write your own virtual machine for the LC-3 computer!
adolfintel/OpenPods
The Free and Open Source app for monitoring your AirPods on Android
mCodingLLC/VideosSampleCode
Code from the mCoding sample videos
ssantoshp/Empyrial
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
AlexWan/OsEngine
Open Source algo trading platform
derekbanas/Python4Finance
I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance.
vlsergey/infosec
Учебное пособие по защите информации кафедры радиотехники и систем управления МФТИ
bee-san/AlgorithmsBook
📚 My algorithmic design paradigms book! 📚
santoku/Santoku-Linux
Linux Distro for Mobile Security, Malware Analysis, and Forensics
anacat/unity-mergetool
A quick guide to set up Unity's Smart Merge with Git
mrmushfiq/python_meets_finance
Financial Analysis in Python
paulsg3/PortfolioOptimization