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ArchMM
A Cython Machine Learning library dedicated to Hidden Markov ModelsStochastic-Unit-Commitment
Stochastic Unit Commitment for Renewable Energy Supply using Lagrangian DecompositionEncoder-Forest
eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embeddingLexicon-Based-Sentiment-Analysis
Lexicon-based sentiment analysis inspired by Syuzhet R packageRealistic-Mouse
Realistic mouse movements for building click botsScythe
Deep learning library based on the gcForest algorithmBeyond-Gradient-Descent
Minimalist deep learning library with first and second-order optimization algorithms made for educational purposeCythrinsic
Header files for allowing Intel intrinsics in CythonPORTIA-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 PyTorchOriana
Variational Inference library for Probabilistic Count Matrix Factorization (pCMF) and single-cell expression data analysisCython-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 ArchitectureRecursive-Least-Squares-Algorithm-With-Kafka-And-Spark
Remote repository for the INFO-H-515 Big data project (phase 2)Neuhon
Musical key detection library & Bachelor thesis on key detectionWasserstein-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 PredictionGDE-GaussFold
Lightning-Fast Template-free Protein Folding based on Predicted Residue Contacts and Secondary StructurePORTIA
A Lightning-fast algorithm for Gene Regulatory Network inference from gene expression dataOpen-Challenges-Single-Cell-Perturbations
20th solution for Kaggle's competition "Open Problems β Single-Cell Perturbations"Motionlens
Sending mobile sensory data to a server as binary dataP-Center-Problem
Solving P-Center Problem using P1 and P3 formulationsNIH-EEG
[Kaggle] HMM-based application for predicting seizures from intracranial EEG recordingsLove Open Source and this site? Check out how you can help us