sridhar9800

sridhar9800's Stars

• AI4Finance-Foundation/FinRL-Tutorials

  Tutorials. Please star.

  Language:Jupyter Notebook874353

• timothyyu/wsae-lstm

  implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

  Language:Jupyter Notebook7830

• voice32/stock_market_indicators

  A small Python library with most common stock market indicators

  Language:Python225109

• ematvey/pybacktest

  Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast

  Language:Python805242

• rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy

  Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

  Language:Jupyter Notebook2k673

• ucaiado/QLearning_Trading

  Learning to trade under the reinforcement learning framework

  Language:Jupyter Notebook504182

• jasonstrimpel/volatility-trading

  A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

  Language:Python1.6k378

• buma/BatAlgorithm

  Language:Python3916

• PyPatel/Machine-Learning-and-AI-in-Trading

  Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

  Language:Python396131

• georgezouq/awesome-ai-in-finance

  🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

  3.7k436

• manuel-calzolari/sklearn-genetic

  Genetic feature selection module for scikit-learn

  Language:Python32277

• orangeduck/Cello

  Higher level programming in C

  Language:C6.9k379

• 7ossam81/EvoloPy

  EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

  Language:Jupyter Notebook456227

• gmichaelson/GA_in_python

  Language:Jupyter Notebook5663

• selfteaching/the-craft-of-selfteaching

  One has no future if one couldn't teach themself.

  Language:Jupyter Notebook15.3k16.6k

• trekhleb/javascript-algorithms

  📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

  Language:JavaScript189k30.4k

• vuejs/devtools-v6

  ⚙️ Browser devtools extension for debugging Vue.js applications.

  Language:TypeScript24.7k4.1k

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  211k27.6k

• virgili0/Virgilio

  Your new Mentor for Data Science E-Learning.

  Language:Jupyter Notebook14k2.5k

• apassant/doom-cover

  Automatically generate Doom-metal album covers

  Language:Python101

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript304k39.8k

• ShawnLYU/ACM

  This is for course CS3391 in City University of Hong Kong

  Language:C++85

• vuejs/vue

  This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

  Language:TypeScript208k33.7k

• songlinqi/recSys

  Recommender systems

  2

• AISquaredLab/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.

  12

• nostalgic-css/NES.css

  NES-style CSS Framework | ファミコン風CSSフレームワーク

  Language:SCSS20.8k1.7k