MasoudJ

DeepHPMs

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Adv_Fin_ML_Exercises

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

Advanced-Deep-Trading

Mostly experiments based on "Advances in financial machine learning" book

AIND-Planning

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

Awesome-Quant-Machine-Learning-Trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

backtrader

Python Backtesting library for trading strategies

bitstarter

MasoudJ/psd-tools

Python package for reading Adobe Photoshop PSD files

MasoudJ/stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

MasoudJ/awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

MasoudJ/neuron_poker

Texas holdem OpenAi gym poker environment, including virtual rendering and montecarlo for equity

MasoudJ/StockMarketGAN-1

Stock Market Prediction Using Unsupervised Features

MasoudJ/Stocks

Programs for stock prediction and evaluation

MasoudJ/Poker

Fully functional Pokerbot that works on PartyPoker and PokerStars. Check the wiki how to contribute! Binaries can be downloaded here.

MasoudJ/mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

MasoudJ/Grokking-Deep-Learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

MasoudJ/Awesome-Quant-Machine-Learning-Trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

MasoudJ/Machine-Learning

MasoudJ/DSD

Downloads Stock Data

MasoudJ/Insurance-Claim-Prediction

In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Data Visualization are also performed to support Analysis.

MasoudJ/Advanced-Deep-Trading

Mostly experiments based on "Advances in financial machine learning" book

MasoudJ/mixture_model_trading_public

MasoudJ/BitVision

Terminal dashboard for Bitcoin trading, forecasting, and charting

MasoudJ/anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

MasoudJ/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

MasoudJ/Recycle-GAN

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

MasoudJ/Wav2Pix

Speech-conditioned face generation using Generative Adversarial Networks

MasoudJ/backtrader

Python Backtesting library for trading strategies

MasoudJ/machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

MasoudJ/backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

MasoudJ/LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

MasoudJ/EliteQuant_Python

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

MasoudJ/Adv_Fin_ML_Exercises

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

MasoudJ/Talking-Face-Generation-DAVS

Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019)

MasoudJ/Machine-Learning-for-Healthcare-Analytics-Projects

Published by Packt

MasoudJ/Lipreading-ResNet

Torch code for using Residual Networks with LSTMs for Lipreading

MasoudJ/face-processor

Aligns faces to the canonical face in both videos and images