ryotat Goto Github PK

aistats12

MATLAB scripts to reproduce the results of our AISTATS 2012 paper

azure-storage-python

Microsoft Azure Storage Library for Python

caffe

Caffe: a Fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

chainer

A flexible framework of neural networks for deep learning

dal

Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning

dbxuploader

demo_conjugate

Interactively plots the convex conjugate of arbitrary functions

dtuphd14

MATLAB scripts for DTU PhD summer school 2014

enshu13

Exercise materials for 数理情報工学演習第二A

icml10

MATLAB scripts to reproduce the results of our ICML 2010 paper

krishna

Krishna is a minimal Jekyll theme suitable for code based blogs and project showcase.

left

Left is a clean, whitespace-happy layout for Jekyll.

lrds

MATLAB scripts to reproduce the results of our ICML 2007 paper

lrr2

MATLAB scripts to reproduce the results of our NIPS 2006 paper

mlss15

neuroimage

notes

opt09

MATLAB scripts to reproduce the results of our OPT 2009 paper

poole

The Jekyll Butler.

ryotat.github.io

sbl

shinsaitwitter

smlbook

storage-blob-python-getting-started

This sample demonstrates how to make a use of modules provided by Microsoft Azure Blob Service in Python.

talks.tokyo

This projects is aimed at developing a system that makes organizing, managing, and sharing seminars (talks) easy. This project is based on Talks.Cam (http://www.talks.cam.ac.uk/).The source code was kindly provided by Center for Applied Research in Education Technologies (CARET), University of Cambridge.

tensor

matlab code for convex optimization based tensor decomposition (completion/denoising)

tkml10

MATLAB scripts to reproduce the results of our TKML 2010 paper