kramerlab Goto Github PK

autoencoder

Autoencoder Implementation in Scala

bankruptcyprediction

bmad

A Boolean Matrix Decomposition Framework

cdk-lib

cecam

cfp-miner

ches-mapper

coffer

dcdl

deep-selected-snp-identification

direct-ranker

Code and Supplementary Material to the Paper: Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance

dirichlet-vae-topic-models

implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

front

graphpool

hybridhdp

Java implementation of a sparse online Hybrid Variational-Gibbs HDP topic model

identifying-drug-side-effects-using-active-learning

jguwekarest

RESTful API Webservice to WEKA Machine Learning Algorithms

lipid_study

maniac

mideo

MiDEO: a framework to perform data mining on probabilistic condensed representations

misticl

Code repository for Knowledge and Information Systems paper titled 'Accelerating Pattern-Based Time Series Classification - A Linear Time and Space String Mining Approach' by Atif Raza and Stefan Kramer

mlcbmad

Multi-Label Classification using Boolean Matrix Decomposition

multi-label-topic-modeling

Java implementation of some multi-label topic models

multi-omics-analysis

n-relaggs

Repository of the N-RELAGGS algorithm and implementation.

olfactory-mapping

peerlearning

Multiple agents (peers) learning together simultaneously from scratch with the ability to communicate in a 'What would you do in my situation?' manner.

ppsl-spn

N-Parties Private Parameter and Structure Learning for SPNs

race

Implementation of Random Compression Method for Online Multi-label Streams

rse