ML Wiz (bassemfg)

bassemfg

Geek Repo

0

followers

0

following

0

stars

Github PK Tool:Github PK Tool

ML Wiz's repositories

Kritzman-Regime-Detection

A HMM application in Kritzman Regime Detection

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

-2-1-texas-hodem-cfr-implementation

This project is a simple re-implementation of counter factual regret minimization on [2-1] texas holdem poker. The Algorithm tries to achieve Nash equilibrium.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

AFML

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

cfr-3

counterfactual regret minimization algorithm implementation for Rock Paper Scissors

Stargazers:0Issues:0Issues:0

create-react-app-auth-amplify

Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.

License:MIT-0Stargazers:0Issues:0Issues:0

cromwell

Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

Language:ScalaLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0

Deep-CFR

Scalable Implementation of Deep CFR and Single Deep CFR

License:MITStargazers:0Issues:0Issues:0

deepglo

This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

License:NOASSERTIONStargazers:0Issues:0Issues:0

distribkv

Distributed key-value database in Go

Stargazers:0Issues:0Issues:0

dl-4-tsc

Deep Learning for Time Series Classification

License:GPL-3.0Stargazers:0Issues:0Issues:0

eiten

Statistical and Algorithmic Investing Strategies for Everyone

License:GPL-3.0Stargazers:0Issues:0Issues:0

experiments

Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning

License:Apache-2.0Stargazers:0Issues:0Issues:0

Financial-Machine-Learning

Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado

Stargazers:0Issues:0Issues:0

FRB

Python Client for Interfacing with the Federal Reserve Bank of St. Louis' Economic Data API (FRED®)

License:MITStargazers:0Issues:0Issues:0

GeneticAlgorithmsWithPython

source code from the book Genetic Algorithms with Python by Clinton Sheppard

License:Apache-2.0Stargazers:0Issues:0Issues:0

Hierarchical-Image-Clustering---Unsupervised-Learning

Hierarchical Clustering of Images using python by extracting color features using Fingerprinting method

Stargazers:0Issues:0Issues:0

kitchensink-ml

Machine learning strategy that trains the model using "everything and the kitchen sink": fundamentals, technical indicators, returns, price levels, volume and volatility spikes, liquidity, market breadth, and more. Runs in Moonshot. Utilizes data from Sharadar and IB.

License:Apache-2.0Stargazers:0Issues:0Issues:0

leak-detect

Detect leakages in machine learning datasets using complex numbers and NANs

License:MITStargazers:0Issues:0Issues:0

markup

Determines which markup library to use to render a content file (e.g. README) on GitHub

License:MITStargazers:0Issues:0Issues:0

MLSTM-FCN

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Stargazers:0Issues:0Issues:0

PokerRL-Omaha

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

License:MITStargazers:0Issues:0Issues:0

quant

Quantitative Analysis Research see more at https://teddykoker.com

Stargazers:0Issues:0Issues:0

regime_changes

Capstone project utilizing time series analysis techniques for prediction of Lockheed Martin stock using regime change/state stability data for Flatiron School's Data Science program.

Stargazers:0Issues:0Issues:0

RLNonStationary

Demo for the application of RL to non-stationary effects

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Stargazers:0Issues:0Issues:0

stock_cnn_blog_pub

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

License:Apache-2.0Stargazers:0Issues:0Issues:0

strategist

Python implementation of the strategies described in the book "151 trading strategies", written by Kakushadze and Serur.

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

tvm-cuda-int8-benchmark

Benchmark of TVM quantized model on CUDA

Stargazers:0Issues:0Issues:0