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Name: Amine Aboussalah
Type: User
Name: Amine Aboussalah
Type: User
Approximate Dynamic Programming for Portfolio Selection Problem
Personal website
Paper list for equivariant neural network
Amine_CDL_Quantum_Challenge
Chance constraints in CVXPY
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: CNN-based stock market prediction using a diverse set of variables
CNNpred: CNN-based stock market prediction using a diverse set of variables
Open collaboration of the Quantum Bootcamp 2020
Constrained Exploration and Recovery from Experience Shaping
MolSSI SARS-CoV-2 Biomolecular Simulation Data and Algorithm Store
Modelling epidemiological dynamics and performing inference in these models
Code for modelling estimated deaths and cases for COVID19.
Curated List of Related Works in Quantum Computing.
Portfolio optimization and simulation in Python
Implementation of Optimal Auctions through Deep Learning
Deep Optimal Stopping Project
This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.
Using deep actor-critic model to learn best strategies in pair trading
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Code accompanying the paper "Deep reinforcement learning for multiparameter optimization in de novo drug design"
An exploration strategy improves the diversity of de novo drug design using deep reinforcement learning
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 course on "Quantum Machine Learning"
An attempt of applying Machine Learning techniques to Fantasy Football
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.