edgaradel Goto Github PK

afp

How do new cryptocurrency data sources introduced to the model alter views on market sentiment and investor behaviour? New data streams introduced to predictive models can significantly alter analytic outcomes that inform views and decision-making.

apache-spark-programming-with-databricks

Owner: Jacob Parr | Apache Spark Programming with Databricks

artofstatistics

Code for 'The Art of Statistics'

bayesvarimpcomorbicancer

Bayesian variable importance/selection, modeling and summary of conditional and marginal measures of association

causalpython

Repository with resources for Causal Python

compuatationalfinance

courses-introduction-to-shell

Introduction to Shell by Greg Wilson

data-science-from-scratch

code for Data Science From Scratch book

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

deeplearning

deeplearningexamples

Deep Learning Examples

empiricalmethods

fe2509

NUS Master of Financial Engineering Course FE5209

google

introductiondeeplearning

Nvidia Intro to Deep Learning

lectures

This repository contains slides from some of the classes I have taught in my career. The repository will be updated from time to time. If you are interested in the .tex files and other material (e.g., lab material) for your own course preparation, feel free to reach out directly to me.

leetcode-solutions

🏋️ Python / Modern C++ Solutions of All 2197 LeetCode Problems (Weekly Update)

lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

ml-from-scratch

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

mth9879_market_microstructure

This repo contains projects for Spring2017 MTH9879 Market Microstructure course

neuralsde-marketmodel

Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

programmers-introduction-to-mathematics

Code for A Programmer's Introduction to Mathematics

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-examples

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

pytorch-ppuu

Code for Prediction and Planning Under Uncertainty (PPUU)

quantitativeassetmanagement

reindeer

Reindeer is a tool which takes Rust Cargo dependencies and generates Buck build rules.

rethinking

Statistical Rethinking course and book package

risk

Financial Risk Management Code