dongwookim-ml

python-topic-model

Implementation of various topic models

kg-data

knowledge-graph datasets

VAE-MF-TensorFlow

Variational Auto-Encoder Matrix Factorisation

flickr-photo

Construct & Recommend trajectories using FYCC100m dataset

MMSB

mixed membership stochastic block model

almc

active learning algorithms for matrix and tensor completion

MatrixFactorization-TensorFlow

Matrix factorization with least square algorithm

prescal

Probabilistic RESCAL and its active learning with Thompson sampling

sparse-graph-prior

Sparse graph prior models

deep-distant-supervision

deeplearning-models

A collection of various deep learning architectures, models, and tips

fbdtm

Path_Vis

scikit-learn

scikit-learn: machine learning in Python

tensorflow

Computation using data flow graphs for scalable machine learning

AIPhylo

machine learning for phylogenetics

cmLab

website source for the computational media lab

digbeta

Active learning for Big Data

dongwookim-ml.github.io

dotfiles

gpustat-web

👓 A web interface of gpustat: monitor GPU clusters at a look

gureum

OS X를 위한 새로운 한글 입력기

keras-anomaly-detection

Anomaly detection implemented in Keras

LaTex_practices_for_ML

This repository includes documents for LaTex best practices for Machine Learning. Feel free to contribute ideas.

NeurIPS-2020-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2020 accepted papers

oh-my-vim

Awesome vim config for everyone.

TextAnalysis.jl

Julia package for text analysis

ThinkBayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

travistest

VAE-TensorFlow

Implementation of a Variational Auto-Encoder in TensorFlow