AntoinePassemiers/Stochastic-Unit-Commitment

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Created over 6 years ago
Updated over 6 years ago

AntoinePassemiers/Stochastic-Unit-Commitment

AntoinePassemiers

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Stochastic Unit Commitment for Renewable Energy Supply using Lagrangian Decomposition

ArchMM

A Cython Machine Learning library dedicated to Hidden Markov Models

Encoder-Forest

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

Lexicon-Based-Sentiment-Analysis

Lexicon-based sentiment analysis inspired by Syuzhet R package

Realistic-Mouse

Realistic mouse movements for building click bots

Scythe

Deep learning library based on the gcForest algorithm

Beyond-Gradient-Descent

Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose

Cythrinsic

Header files for allowing Intel intrinsics in Cython

PORTIA-Manuscript

Source code for the paper "Fast and Accurate Inference of Gene Regulatory Networks through Robust Precision Matrix Estimation", by Passemiers et al.

PFSP-WT

Heuristic solver based on Ant Colony Optimization and designed for the Permutation Flow Shop Scheduling Problem with Weighted Tardiness (PFSP-WT)

MMO-Torch

Matrix Manifold Optimization with PyTorch

Oriana

Variational Inference library for Probabilistic Count Matrix Factorization (pCMF) and single-cell expression data analysis

Cython-Project-Template

Ready-to-use and simple Cython template for long-term projects (with NumPy support)

Wynona

Protein Residue Contact Prediction based on a Deep Neural Architecture

Recursive-Least-Squares-Algorithm-With-Kafka-And-Spark

Remote repository for the INFO-H-515 Big data project (phase 2)

Jupyter Notebook

MKP

Heuristic Solver for the Multidimensional Knapsack Problem

Neuhon

Musical key detection library & Bachelor thesis on key detection

Wasserstein-Mass-Spectrometry

Unofficial implementation of the paper "The Wasserstein Distance as a Dissimilarity Measure for Mass Spectra with Application to Spectral Deconvolution"

Master-Thesis

Master Thesis on Protein Contact Prediction

GDE-GaussFold

Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary Structure

PORTIA

A Lightning-fast algorithm for Gene Regulatory Network inference from gene expression data

Open-Challenges-Single-Cell-Perturbations

20th solution for Kaggle's competition "Open Problems – Single-Cell Perturbations"

Jupyter Notebook

Motionlens

Sending mobile sensory data to a server as binary data

P-Center-Problem

Solving P-Center Problem using P1 and P3 formulations

NIH-EEG

[Kaggle] HMM-based application for predicting seizures from intracranial EEG recordings