robnascimento's Stars
valgur/hatanaka
Python-based compression / decompression of RINEX files
diefimov/MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
LechGrzelak/QuantFinanceBook
Quantitative Finance book
RomelTorres/alpha_vantage
A python wrapper for Alpha Vantage API for financial data.
santoshlite/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
guanquann/Stocksera
Finance application that provides more than 60 different alternative data to retail investors
whittlem/pycryptobot
Python Crypto Bot (PyCryptoBot)
mhallsmoore/qstrader
QuantStart.com - QSTrader backtesting simulation engine.
yhilpisch/tpqoa
tpqoa is a Python wrapper package for the Oanda REST API v20 for algorithmic trading.
vsaveris/trading-technical-indicators
Trading Technical Indicators python library
yhilpisch/aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
jesse-ai/jesse
An advanced crypto trading bot written in Python
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
pycaret/pycaret
An open-source, low-code machine learning library in Python
mementum/backtrader
Python Backtesting library for trading strategies
leosmigel/analyzingalpha
ranaroussi/yfinance
Download market data from Yahoo! Finance's API
quantopian/pyfolio
Portfolio and risk analytics in Python
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
alexeygrigorev/data-science-interviews
Data science interview questions and answers
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
fastai/fastai
The fastai deep learning library
fastai/fastbook
The fastai book, published as Jupyter Notebooks
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)