Raymond Lee's repositories
a_little_book_of_python_for_multivariate_analysis
A Little Book of Python for Multivariate Analysis
aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
Coding-the-Matrix
The Coursera course Coding the Matrix: Linear Algebra through Computer Science Applications by Philip Klein
cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
core_rl
Repo of core reinforcement learning algorithms and explanations using pytorch lightning
CS231n
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
notebooks
A collection of my IPython Notebooks
pandas_exercises
Practice your pandas skills!
Preprocessing-for-deep-learning
This is the notebook associated with the blog post:
PRMLT
Matlab code for machine learning algorithms in book PRML
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 ;)
Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition