matti410

matti410's Stars

• Edge-Analysis/auto_feature_meta_model

  Language:Python2

• AI4Finance-Foundation/FinRL-Tutorials

  Tutorials. Please star.

  Language:Jupyter Notebook836343

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.9k1.5k

• bluefeversoft/forex_python

  Language:Jupyter Notebook10460

• SdxHex/Tensor-Trade-Notebook

  ##### Collection of thoughts and notes about my experience trying to beat the market.

  Language:Jupyter Notebook1

• PaddlePaddle/Quantum

  Language:Jupyter Notebook582179

• The-Singularity-Research/FinTech-Time-Series

  Quantum Machine Learning for FinTech and Time Series Data

  Language:Jupyter Notebook2115

• pbharrin/alpha-compiler

  Language:Python4419

• marketneutral/alphatools

  Quantitative finance research tools in Python

  Language:Jupyter Notebook41083

• dair-ai/ML-YouTube-Courses

  📺 Discover the latest machine learning / AI courses on YouTube.

  16k1.9k

• PacktPublishing/Tensorflow-2-Reinforcement-Learning-Cookbook

  Tensorflow 2 Reinforcement Learning Cookbook, published by Packt

  Language:Jupyter Notebook18988

• cbailes/awesome-deep-trading

  List of awesome resources for machine learning-based algorithmic trading

  1.5k306

• Kismuz/btgym

  Scalable, event-driven, deep-learning-friendly backtesting library

  Language:Python985261

• automl/Auto-PyTorch

  Automatic architecture search and hyperparameter optimization for PyTorch

  Language:Python2.4k287

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.4k1.2k

• arnabbiswas1/feature_engineering_with_tsfresh_and_dask

  How to automate feature generation process for large scale time series data using two python libraries tsfresh and Dask

  Language:Jupyter Notebook123

• nils-braun/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook2

• cod3licious/autofeat

  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

  Language:Python49861

• yhilpisch/aiif

  Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

  Language:Jupyter Notebook308196

• itsravneet/Bitcoin-Price-Prediction

  Language:Python3

• georgedouzas/sports-betting

  Collection of sports betting AI tools.

  Language:Python38369

• julesz12345/Cryptocurrency-Prediction

  Language:Jupyter Notebook61

• GilWeissman/Predicting-Sports

  Predicting soccer results using advanced statistics and machine learning tools. The result product was a betting tool with an actual profit.

  Language:Jupyter Notebook1

• kyleskom/NBA-Machine-Learning-Sports-Betting

  NBA sports betting using machine learning

  Language:Python1.2k437

• Iceloof/GoogleNews

  Script for GoogleNews

  Language:Python33892

• akshaydnicator/Web-Scraping-News-Articles-and-Tweets-using-Python

  Using various web scraping techniques to scrape tweets from Twitter and news articles from two different types of websites

  Language:Python189

• Drabble/TwitterSentimentAndCryptocurrencies

  Analysis of Twitter Sentiment to discover correlations with Bitcoin and other cryptocurrencies

  Language:Jupyter Notebook10435

• PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition

  Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook1.9k1k

• ksjagtap/QuantConnect-Trading-Strategies

  Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques

  Language:Python8242

• data-octo/AITrading

  Reinforcement Learning for trading cryptocurrencies, stocks and forex

  Language:Jupyter Notebook2413