zepx

pytorch-weight-prune

Pytorch version for weight pruning for Murata Group's CREST project

graphencoder

Learning Deep Representations for Graph Clustering Implementation

sequential-imagenet-dataloader

Originally taken from https://github.com/BayesWatch/sequential-imagenet-dataloader. This copy attempts to perform preprocessing before converting to lmdb.

VaDE

Fork from https://github.com/slim1017/VaDE.

spack

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

titechportal-autologin

A Google Chrome extension for automatic Titech Portal login.

collab-chainer-fashion-mnist

An example of using Chainer with Google Collab

crest-deep.github.io

project website

cvb

Code for Coupled Variational Bayes via Optimization Embedding

dlib-android

:dragon: Port dlib to Android

docker-ubuntu-kernel-build

dotfiles

personal dotfiles configuration

Dynamic-Network-Surgery-Merged

The Merged Branch of DNS with Caffe

Emby.Plugins.Anime

An anime metadata provider for Emby

Jackett

API Support for your favorite torrent trackers.

jellyfin-plugin-anime

Anime metadata plugin for Jellyfin

L-OBS

Codes for Layer-wise Optimal Brain Surgeon

line-pay

A SDK to use LINE Pay inside the node.js application.

line-pay-in-bot

Sample code to use LINE Pay in your bot.

models

Models and examples built with TensorFlow

molecule-chef

Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)

mw-wp-form

Neural-EM

Code for the "Neural Expectation Maximization" paper.

observations

Tools for loading standard data sets in machine learning

pytorch_geometric

Graph Neural Network Library for PyTorch

scikit-learn

scikit-learn: machine learning in Python

tensorbayes

Deep variational inference in tensorflow

tensorflow

An Open Source Machine Learning Framework for Everyone

vae-clustering

Unsupervised clustering with (Gaussian mixture) VAEs

VAE-Gumbel-Softmax

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.