lucasandlevinandjadon Goto Github PK

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

alpaca-cppi

A constant proportion portfolio insurance (CPPI) trading algorithm on top of Alpaca's Trading API.

alternative-bars

Generate various Alternative Bars both historically and at real-time.

analyzingalpha

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

compecon2020

Computational Economics Course 2020 by Kenneth Judd

consumptionsavingnotebooks

Jupyter Notebook examples of the ConSav package

datatest

dolo.py

Economic modelling in python

factoranalytics

financedata

financedatabase

This is a database of 180.000+ symbols containing Equities, ETFs, Funds, Indices, Futures, Options, Currencies, Cryptocurrencies and Money Markets.

fundamentalanalysis

Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 13.000+ companies.

fundanalysis

Code to analyze and track mutual funds and ETFs. Output should include: factor exposures, style analysis, performance both relative to a benchmark and absolute.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hark

Heterogenous Agents Resources & toolKit

java

All Algorithms implemented in Java

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

longtermcare

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

py4fi

Python for Finance (O'Reilly)

reddit

analysis of mental health support groups on Reddit

redditweb

reinforcement-learning-2nd-edition-by-sutton-exercise-solutions

Solutions of Reinforcement Learning, An Introduction

rl-solutions

强化学习第二版习题解答与代码案例 Solutions and codes for Reinforcement Learning second edition

sdc-p5

Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking

solvingmicrodsops

Christopher Carroll's Lecture Notes on Solving Microeconomic Dynamic Stochastic Optimization Problems and Indirect Inference

summarize-from-feedback

Code for "Learning to summarize from human feedback"

swr

Safe withdrawal rate using flexible investing and withdrawal schedules and optimizers

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks