近似最近傍探索の最前線
[link]
Python: pandas-profiling でデータセットの概要を確認する
[link]
google images downloader
[link]
確率数理要論メモ
[link]
Google Colaboratoryによる作図支援コード
[tweet]
[link]
Albumentation
image augmentation library
[link]
対話システムライブコンペティション
[telegram bot]
Text2HeatMap
[link]
reinforcement learning lecture
[link]
Thinking machineに向けて
[link]
Statistical Methods for HCI Research [link]
semi auto image annotation tool
[link]
Building Machines that Learn & Think Like People - Prof. Josh Tenenbaum ICML2018
[video]
pHash with python pip
[link]
ESPNET
[link]
[slide(ja)]
End-to-End speech processing toolkit (speech recognition)
google iamges downloader
[link]
browser based segmentation annotation tool
[link]
Keras GAN zoo
[link]
opentonz
[link]
数式の読み方、大学で学ぶ数式 [link]
convnet-drawer
[link]
youtube downloader
[link]
[pytube]
Hyper Collocation dictionary based on arXiv repository
[paper]
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy
[paper]
[code]
Picture collage maker in Python
[link]
Academic PhraseBank
[link]
googliser (Image search and saving tool)
[link]
MIT AGI lectures
[link]
RISE
slide style of jupyter notebook
[link]
MuJoCo Plugin and Unity Integration
[link]
Deep Learning: A Critical Appraisal
Gary Marcus
[paper]
Marp:Markdown Presentation Writer
[link]
Baysian optimization tool
[link]
The Human Annotation Tool
[link]
Computational Optimal Transport
[paper]
微分・積分の先にあるもの― 変分法入門 ―
[link]
ニューラルネットの学習過程の可視化を題材に、Jupyter + Bokeh で動的な描画を行う方法の紹介
[link]
Gtrace
continuous emotion annotation to time-series data
[link]
ArXiv api in python
[link]
微分幾何講義ノート
[link]
PRML解答集
[link]
language detection(java)
[link]
Facets
[link]
Django REST Framework
[link]
[Django REST Frameworkを使って爆速でAPIを実装する]
Neural Text-Entity Encoder (NTEE)
[link]
Resembla: Word-based Japanese similar sentence search library
[link]
Augmentor (image augmentation library)
[link]
material design (for programming)
[link]
Gathering Human Feedback
[link]
Deep Learninng Summer School Slides
[link]
Deep Learning for Semantic Composition(ACL2017 tutorial)
[link]
松尾研PRML輪講資料
[link]
Image annotation tool
[link]
Seeing Theory(統計確率の知識の可視化)
[link]
これだけ覚えておけばOK！シェルスクリプトで冪等性を担保するためのTips集
[qiita]
WebDNN: Fastest DNN Execution Framework on Web Browser
[link]
Jupyter Notebookでプレゼンをするとっても便利な方法
[qiita]
藤吉先生 動画像理解技術とその応用
[link]
Training object class detectors with click supervision
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari
[paper]
pytorch-cheatsheet
[link]
OpenCVによるアニメ顔画像検出
[link]
[lbpcascade_animeface]
自然言語処理における前処理の種類とその威力
[qiita]
Single Shot Multibox Detector (SSD)
[code]
Distill
[link]
Terminal Markdown Viewer
[link]
Widget based progress bar for Jupyter (IPython Notebook)
[link]
[link]
chainercv
[link]
Understanding the brain with the help of artificial intelligence
[link]
書き割りシステム
[link]
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health
Ferda Ofli, Yusuf Aytar, Ingmar Weber, Raggi al Hammouri, Antonio Torralba
[paper]
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Serhii Havrylov, Ivan Titov
[paper]
Recognizing Dynamic Scenes with Deep Dual Descriptor based on Key Frames and Key Segments
Sungeun Hong, Jongbin Ryu, Woobin Im, Hyun S. Yang
[paper]
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Samuel L. Smith, David H. P. Turban, Steven Hamblin, Nils Y. Hammerla
[paper]
Tensorflow Fold
[link]
FPGA高位合成
[slide]
自動テスト
[link]
IIBMP2016 深層生成モデルによる表現学習
[slide]
Chainerでファインチューニングするときの個人的ベストプラクティス
[link]
ニューラルネットワークの学習の工夫
[link]
CNN による画像分類で使われる前処理・テスト時処理まとめ
[link]
機械学習の重要なアプローチ：ベイズ理論
[link]
Benchmarking State-of-the-Art Deep Learning Software Tool
[paper]
Kaggle Kernel
[link]
単語の埋め込みベクトル集
[link]
**グラム先生Dynet解説 [link]
Learning Language Games through Interaction()
Sida I. Wang, Percy Liang, Christopher D. Manning
[paper]
[project]
[slideshare]
情報幾何の基礎とEMアルゴリズムの解釈
[link]
Physical Causality of Action Verbs in Grounded Language Understanding(ACL2016)
Qiaozi Gao† Malcolm Doering‡∗ Shaohua Yang† Joyce Y. Chai†
[paper]
[slideshare]
Deep Learningライブラリ 色々つかってみた感想まとめ
[link]
Unsupervised Learning of Video Representations using LSTMs(ICML)
[paper]
新たなRNNと自然言語処理
[paper]
Deep nets for local manifold learning
[paper]
An overview of gradient descents
[link]
[link(ja)]
arxiv user survey report
[link]
Layer Normalization
Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton
[paper]
[code]
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu, Saizheng Zhang, Ying Zhang, Yoshua Bengio, Ruslan Salakhutdinov
[paper]
A unified framework for information integration based on information geometry(ArXiv)
[paper]
行列分解
Gated Probabilistic Matrix Factorization:Learning Users’ Attention from Missing Values
[paper]
人狼知能関係
[blog]
[人狼BBS]
[simple werewolf] chat-based
[idiap] ASR-based
[brenbarn] chat-based
AWS GPUインスタンス使い方と注意点
[link]
Unitary Evolution Recurrent Neural Networks
[[paper]
faster-RCNN
[figure]
##DeepLearner collection [link]
##GAN tips
Improved Techniques for Training GANs(ArXiv)
[paper]
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets(ArXiv)
[paper]
##Papers
16 Free Machine Learning Books
[paper]
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization(ICML2016)
[paper]
[supplement]
Efficient Algorithms for Adversarial Contextual Learning(ICML2016)
[paper]
[supplement]
Learning to Generate with Memory(ICML2016)
[paper]
[supplement]
Learning High-Level Planning from Text
S.R.K. Branavan, Nate Kushman, Tao Lei, Regina Barzilay
[paper]
Psycholinguistic Features for Deceptive Role Detection in Werewolf(NAACL2016)
[paper]
The Manifold Tangent Classifier(NIPS)
Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller
[papper]
#Other materials
自然言語処理でメタファーをどう扱うか
[slide]
optical flow
[qiita]
Markdown Resume Generator
[link]
言語情報処理ポータル
[link]
blogpost about AI
[link]
elementary proof ofr sion's minimax theorem
[link]
関西CV・PRML勉強会
[link]
recipe API
[paper]
Introduction to Information Retrieval
[link]
Attention
[slideshare]
Information Geometry
[www link]
[link]
[link]
[text English]
[text]
[blog]
[blog]
[site]
CNN
[for biginer]
Reinforcement Learning
for biginer
[link]
[link]
[slide]
[video]
[qiita]
[convergence cheatsheet]
Reinforcement Learning: An Introduction (by Richard S. Sutton and Andrew G. Barto)
[link]
Active Learning
[survey]
[slide]
survey
[link]
DQN-chainer
[code]
[description]
[blog]
Active Object Localization with Deep Reinforcement Learning
[paper]
OpenAI
[link]
[api Torch]
LIS
[link]
SIGverse
[link]
全脳アーキテクチャ勉強会
[言語と画像の表現学習]
Learning Continuous Control Policies by Stochastic Value Gradients
[slide]
Abstract Meaning Representation
[introduction
R-CNN
[reddit]
HMM
[tensorflow]
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback
Convolutional Neural Networks (ICCV2015)
[paper]
Text Understanding from Scratch
Xiang Zhang, Yann LeCun
[paper]
ROS programing
[link]
研究初心者のためのJAVA講座
[link]
Reinforcement Learning Neural Turing Machine [gitxiv]
Computer Vision: Models, Learning, and Inference
[link]
topic model
[link1]
[blog:coherence]
Quantum Annealing
[slideshare]
reddit
[SOTA image-caption
[Nando de Freitas]
Python
[link]
[Dive Into Python]
[Dive Into Python3 Japanese]
[duke]
NMF
[slide]
[multichannel sound source separation]
Kernel [slide]
Statistics Who do you love most? Your left-tail or your right tail?]
##Evaluation Metrics
SSIM (Structural SIMilarity)
pixel based image similarity metric
[link]
[paper]
[python code]
##Educational Video
Educational Videos Collections
[link]
Coursera Machine Learning (Japanese subtitle avaiable) [link]
Bayes Inference and Graphical Model (Japanese)
[link
Stanford CV Lecture [link]
社会人のためのデータサイエンス演習('16/4/19~)
[link]
Google: Deep Learning Taking machine learning to the next level
learn how to use Tensorflow
[link]
[ArXiv]
[tips]
**エンジニアとして知っておくと幸せになれる（かもしれない）機械学習とTensorFlowのこと [link]
Python
[link]
[Study Guide]
##Tools
graph-tool
[link]
Sentencepiece
[qiita]
MyScript (write -> tex)
[link]
日本語正規化
[code]
Scalable Bayesian Optimization Using Deep Neural Networks
neural networks as an alternative to GPs
[GitXiv]
Top-Down BTG-based Preordering
[code]
Qiita
[write math]
Bokeh
python local server[link]
Deep Learning Frameworks
COMPARATIVE STUDY OF CAFFE, NEON, THEANO, AND TORCH FOR DEEP LEARNING
[paper]
CNTK, the Computational Network Toolkit by Microsoft Research
[link]
Cloud Machine Learning
[article]
keras
[Japanese ref]
[link]
[augmentation]
Tensorflow tutorial
[link]
libsvm
[code]
[practical guide]
[guide slide]
sh
[link]
python2commandline
[link]
emotiv
[emotiv] tools
[emokit]
[emofox]
research mind
[link]
X->Y Y research is not always simple application of X
[link]
ネットによる公開討論会”独創的研究とは”
[link]
research tips
[slide]
how to write paper
[link]
by Simon Peyton Jones(MSR,Cambridge)
[video]
[松尾ぐみの論文の書き方]
[link]
[cvpr]
[stanford]
[table]
[link]
[link]
[スタンフォードで学んだ研究の生産性を上げる4つの方法]
how to peer review
[link]
paper search
PoEC[link]
exemplar[link]
data,code manegement
[link]
coding
[link]
Grammaly
英文校正ツール
[link]
to correct misuse phrase
[link]
correcting with google translate
[article]
[blog]
how to make presentation
[link]
[link]
manga like figure generation using matplotlib
[[link(http://www.procrasist.com/entry/python-xkcd)]
#Educational Application
SAKUMON (ICWL2007)
[paper]
#Crowdsouecing
crowdflower
[make]
[task]
[top]
#gui
Qt
[link]
Processing
[link]
Dynamic Draw
[link]
wxwidgets
[link]