Antoine Passemiers's repositories
Stochastic-Unit-Commitment
Stochastic Unit Commitment for Renewable Energy Supply using Lagrangian Decomposition
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
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.
Cython-Project-Template
Ready-to-use and simple Cython template for long-term projects (with NumPy support)
Master-Thesis
Master Thesis on Protein Contact Prediction
Recursive-Least-Squares-Algorithm-With-Kafka-And-Spark
Remote repository for the INFO-H-515 Big data project (phase 2)
Wasserstein-Mass-Spectrometry
Unofficial implementation of the paper "The Wasserstein Distance as a Dissimilarity Measure for Mass Spectra with Application to Spectral Deconvolution"
GDE-GaussFold
Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary Structure
Open-Challenges-Single-Cell-Perturbations
20th solution for Kaggle's competition "Open Problems – Single-Cell Perturbations"
P-Center-Problem
Solving P-Center Problem using P1 and P3 formulations
AntoinePassemiers
Config files for my GitHub profile.
Bitonic-Sort
Sorting arbitrary sequences using a bitonic sort algorithm distributed with MPI
celfie
cfDNA cell type of origin estimation
ChIP-seq-Peak-Caller
Peak Calling algorithm for Chromatin-immunoprecipitation sequencing (ChIP-seq) data
Feature-Selection-Benchmark
Official source code for the paper "How good are neural network feature selection methods in detecting non-linear signals? A quantitative benchmark."
GRADIS
Assessing the robustness of the results presented in "Supervised learning of gene regulatory networks based on graph distance profile of transcriptomics data"
Jerry-The-Race-Car-Driver
He drives so goddamn fast!