Alexis Haas's starred repositories
ColorFilter
( ReactJS + Numpy + NodeJs ) * Image Color Filter
HiddenMarkovModel
Example implementation of a discrete 1st order Hidden Markov model with test
systemic-risk
Some Jupyter notebooks demonstrating various types of models for systemic financial risk, including indicator back-testing, network construction, network analytics, statistical stress-testing & economic models. Many of these can be run on Azure, when the required R & python packages are supported.
stress-testing-with-jupyter
Various stress testing/risk modeling techniques in a jupyter notebook, in Python 3.4.
Long-Short-Stress-Test
📊 Long/Short Equity Portfolio Stress Test
Dash-by-Plotly
Interactive data analytics
scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
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.
Pricing-and-Hedging-of-Exotic-Options-Under-Black-Scholes-and-Heston-Models
Monte Carlo Pricing and Greeks estimation under Black Scholes and Heston Models
Time-Series-Analysis-with-Python-Cookbook
Time Series Analysis with Python Cookbook, published by Packt
data-science-question-answer
A repo for data science related questions and answers
pandas_exercises
Practice your pandas skills!
free-data-science-books
Free resources for learning data science
Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
LearnDataScience
Open Content for self-directed learning in data science
Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.