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2019-cs109a

https://harvard-iacs.github.io/2019-CS109A/

2020-computefest

2020-cs109b

2020f-ac295

This repository contains materials for AC295 fall 2020

2021-computefest

alphalens

Performance analysis of predictive (alpha) stock factors

cheatsheet-18.6501x

Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics

contrarian-strategy-tester

Using Yahoo Finance data, this code takes a user input list of stocks and tests a daily contrarian investment strategy where you sell the stocks that made money the day prior and buy the stocks that lost money the day prior.

coursera

Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera

cs109b-project

Measuring the shape and brightness of galaxies with neural networks

csci_e_82a_probabalistic_programming

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

machine-learning-for-algorithmic-trading-second-edition

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

neural-style

Torch implementation of neural style algorithm

pyfolio

Portfolio and risk analytics in Python

qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

research_public

Quantitative research and educational materials

show-attend-and-tell-keras

Keras implementation of the "Show, Attend and Tell" paper

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

zipline

Zipline, a Pythonic Algorithmic Trading Library