vedsgit Goto Github PK

akka-stocktrading-eventsourcing

algo-strats-optimizer

algo-trade-adversarial-examples

todo: desc

alpha-engine

applied-machine-learning

A step-by-step guide to get started with Applied Machine Learning

auto-trading-strategy

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

baseball-homeruns

Final Project for Denison's MATH 242 - Applied Statistic: A data analysis project to predict the likelihood of hitting a homerun in baseball based on batting statistics

bayesnewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

beginning-java-objects-3rd-ed.

Original source code for Beginning Java Objects 3rd Ed

binance

blogmaterials

boilerpipe

Work in progress transmit from Google Code

bovespastockratings

Crawler for Fundamental analysis platform for BOVESPA stocks, generating a score for each share according to the selected criteria on the indicators.

bta-lib

Technical Analysis library in pandas for backtesting algotrading and quantitative analysis

c

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

c-mnist-number-solve

Solving the MNIST handwritten dataset with pure C using the free open source neural network library "fann".

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

capstone_stock_trading_policy_optimization-master

Stock investment can be one of the ways to manage one’s asset.

code

Golub, Glattfelder and Olsen, ''The Alpha Engine: Designing an Automated Trading Algorithm''

codesearchnet

Datasets, tools, and benchmarks for representation learning of code.

coding-interview-university

A complete computer science study plan to become a software engineer.

coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

complete-guide-to-deep-learning

This guide is for those who know some math, know some programming language and now want to dive deep into deep learning

computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

data-mining

Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course

dawp

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

deep-hedging

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

deep-learning

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

deep-reinforcement-stock-trading

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.