karabellyj

karabellyj's Stars

• john-science/scipy_con_2019

  Tutorial Sessions for SciPy Con 2019

  Language:Jupyter Notebook279252

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook8.5k2.9k

• BlackArbsCEO/Adv_Fin_ML_Exercises

  Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

  Language:Jupyter Notebook1.8k639

• cantaro86/Financial-Models-Numerical-Methods

  Collection of notebooks about quantitative finance, with interactive python code.

  Language:Jupyter Notebook5.8k1k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17.6k4.3k

• grananqvist/Awesome-Quant-Machine-Learning-Trading

  Quant/Algorithm trading resources with an emphasis on Machine Learning

  2.9k578

• jasonstrimpel/volatility-trading

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

  Language:Python1.7k383

• pypa/pipx

  Install and Run Python Applications in Isolated Environments

  Language:Python11.3k450

• anthonyng2/Machine-Learning-For-Finance

  Machine Learning for finance and investment introduction

  Language:Jupyter Notebook256132

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.8k2.3k

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  223k29.1k

• keon/awesome-nlp

  :book: A curated list of resources dedicated to Natural Language Processing (NLP)

  17.1k2.6k

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.7k3.6k

• stefan-jansen/machine-learning-for-trading

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

  Language:Jupyter Notebook14.5k4.5k

• wywongbd/pairstrade-fyp-2019

  We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

  Language:Python25971

• QuantConnect/Research

  Open sourced research notebooks by the QuantConnect team.

  Language:Jupyter Notebook578176

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook38.4k6.1k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  46.8k10.8k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python67.4k14.8k

• Wookai/paper-tips-and-tricks

  Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

  Language:Python3.7k259

• LaurentMazare/tch-rs

  Rust bindings for the C++ api of PyTorch.

  Language:Rust4.7k371

• AlexIoannides/pymc-example-project

  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

  Language:Jupyter Notebook10518

• bashtage/arch

  ARCH models in Python

  Language:Python1.4k258

• je-suis-tm/quant-trading

  Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

  Language:Python6.6k1.3k

• udacity/machine-learning

  Content for Udacity's Machine Learning curriculum

  Language:Jupyter Notebook4k6.3k

• playgrdstar/financial_data_viz

  Computing some financial measures and visualising them in Pandas

  Language:Jupyter Notebook152

• quantopian/research_public

  Quantitative research and educational materials

  Language:Jupyter Notebook2.5k1.6k

• satwikkansal/wtfpython

  What the f*ck Python? 😱

  Language:Python36.1k2.7k