Kento NOZAWA

Login: nzw0301

Company: University of Tsukuba

Location: Japan

Bio: master's student

Blog: http://nzw0301.github.io/

Blog: http://nzw0301.github.io/

Member of

  1. The Apache Software Foundation

Repositories

bayesianNonparametrics
https://www.amazon.co.jp/%E3%83%8E%E3%83%B3%E3%83%91%E3%83%A9%E3%83%A1%E3%83%88%E3%83%AA%E3%83%83%E3%82%AF%E3%83%99%E3%82%A4%E3%82%BA-%E7%82%B9%E9%81%8E%E7%A8%8B%E3%81%A8%E7%B5%B1%E8%A8%88%E7%9A%84%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92%E3%81%AE%E6%95%B0%E7%90%86-%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92%E3%83%97%E3%83%AD%E3%83%95%E3%82%A7%E3%83%83%E3%82%B7%E3%83%A7%E3%83%8A%E3%83%AB%E3%82%B7%E3%83%AA%E3%83%BC%E3%82%BA-%E4%BD%90%E8%97%A4-%E4%B8%80%E8%AA%A0/dp/4061529153
dblp4j
null
fastText
Library for fast text representation and classification.
gensim
Topic Modelling for Humans
GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
incubator-hivemall
Mirror of Apache Hivemall (incubating)
julia-nlp100knock
null
juliaTokyo3
JuliaTokyo#3 LT nozawa
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
keras-contrib
Keras community contributions
keras-docs-ja
Japanese translation of the Keras documentation
keras-examples
null
keras-tutorial-for-klis14
null
lightLDA
fast sampling algorithm based on CGS
mypage
null
PFI_PFN_summer_intern_task_code
null
prelude
Prelude is an enhanced Emacs 24.4+ distribution that should make your experience with Emacs both more pleasant and more powerful.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch_skipgram
null
reinforcementLearningJaBook
?????????????
research_project_templete
null
slis-ml-tools
null
slis_thesis
I hate inefficiency about the format of slis thesis
snap
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
spooky
null
TopicModels.jl
null
word2vec
Automatically exported from code.google.com/p/word2vec
word2vec4j
null

Commits To

RepositoryMost Recent Commit# Commits


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.