Rolf Brokmann's starred repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
batocera.linux
batocera.linux
EmulationStation
A Fork of Emulation Station for RetroPie. Emulation Station is a flexible emulator front-end supporting keyboardless navigation and custom system themes.
docker-cheat-sheet
Docker Cheat Sheet
fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
numerical-mooc
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
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.
DermanPapers
Notebooks that replicate original quantitative finance papers from Emanuel Derman
docker-stacks
Ready-to-run Docker images containing Jupyter applications
learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
material-dashboard
Material Dashboard - Open Source Bootstrap 5 Material Design Admin
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
trading-ig
A lightweight Python wrapper for the IG Markets API
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ThinkBayes
Code repository for Think Bayes.
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
stock-volatility-google-trends
Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
python-edgar
Download the SEC filings index from EDGAR since 1993
fastai_deeplearn_part1
Notes for Fastai Deep Learning Course