amineaboussalah Goto Github PK

adpportfolioselection

Approximate Dynamic Programming for Portfolio Selection Problem

amineaboussalah.github.io

Personal website

awesome-equivariant-network

Paper list for equivariant neural network

cdl_quantum_challenge

Amine_CDL_Quantum_Challenge

chancecons

Chance constraints in CVXPY

cnn-for-eeg-tsc

Electroencephalography (EEG) is an effective and non-invasive way to capture electric activity of the brain. EEG time series classification is a very important problem in neuroscience as a lot of EEG practical applications, such as medical diagnostics and brain–computer interfaces, depend on the quality of classification results. Several effective classification methods that use deep neural networks were developed in recent years, and convolutional neural networks (CNN) have shown exceptional results in many studies. The aim of this project is to investigate if EEG time series can be classified according to the types of attention (mental or sensory) that was used by research participants during the experiment. Deep multi-scale convolutional neural network is used as a classification model. The results have shown that CNN is indeed capable of solving such classification tasks: 98% accuracy was obtained on validation dataset. The obtained results suggest that CNN capabilities in extracting features from time series data is a perspective field for further research.

cnnpred-keras

CNNpred: CNN-based stock market prediction using a diverse set of variables

cnnpred-pytorch

CNNpred: CNN-based stock market prediction using a diverse set of variables

cohortproject_2020

Open collaboration of the Quantum Bootcamp 2020

community_detection_annealing

constrained-rl

Constrained Exploration and Recovery from Experience Shaping

covid

MolSSI SARS-CoV-2 Biomolecular Simulation Data and Algorithm Store

covid-1

Modelling epidemiological dynamics and performing inference in these models

covid-19-detection-using-deep-learning

covid19model

Code for modelling estimated deaths and cases for COVID19.

curated-list

Curated List of Related Works in Quantum Computing.

cvxportfolio

Portfolio optimization and simulation in Python

deep-hedging

deep-opt-auctions

Implementation of Optimal Auctions through Deep Learning

deep-optimal-stopping

Deep Optimal Stopping Project

deep-portfolio-management-reinforcement-learning

This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.

deep-reinforcement-learning-in-stock-trading

Using deep actor-critic model to learn best strategies in pair trading

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deepfmpo

Code accompanying the paper "Deep reinforcement learning for multiparameter optimization in de novo drug design"

drl_solver

drugex

An exploration strategy improves the diversity of de novo drug design using deep reinforcement learning

dxy-covid-19-data

2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

edx---quantum-machine-learning

edX course on "Quantum Machine Learning"

fantai

An attempt of applying Machine Learning techniques to Fantasy Football

finance_and_covid_tracking_dashboard