自作深層生成モデルライブラリの紹介 - Qiita
今回は，深層生成モデルの自作ライブラリ「Tars」を紹介します．以前から僕が一人で勝手に実装して勝手に使っていたもので，これまで非公開としていましたが，今回この記事を書くにあたって公開することにしました． https://github.com/masa-su/Tars もし需要がありましたら，今後も何回かに分けて紹介していきたいと思います． ※ 本記事は，深層生成モデルについてある程度理解している人を前提に書いています．VAE等を全く知らない人は論文や他の記事を読んでください． 確率モデルとニューラルネットワーク 近年深層生成モデル（VAE[1]，GAN[2]，自己回帰モデル[3]など）が流行っていますが，こういったモデル（特にVAE）では，ネットワークを確率分布として，あるいはユニットを確率変数として扱っています． こういった深層生成モデルの実装はたくさんあるのですが，問題点として，モデ
Edward – Home
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and mach
ViennaCL - Linear Algebra Library using CUDA, OpenCL, and OpenMP
ViennaCL is a free open-source linear algebra library for computations on many-core architectures (GPUs, MIC) and multi-core CPUs. The library is written in C++ and supports CUDA, OpenCL, and OpenMP (including switches at runtime). The highlights of the latest 1.7.x release family are: Fast sparse matrix-matrix multiplications, outperforming CUBLAS and MKL.Fine-grained parallel algebraic multigrid
Open MPI: Open Source High Performance Computing
A High Performance Message Passing Library The Open MPI Project is an open source Message Passing Interface implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library avail
HTK Speech Recognition Toolkit
Getting HTK Documentation Mailing Lists Development Links What is HTK? The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into speech synthesis, character recognition and DNA sequencing. HTK is in use at hund
LIBMF: A Software for Matrix Factorization for Recommender Systems
LIBMF: A Matrix-factorization Library for Recommender Systems Machine Learning Group at National Taiwan University Version 2.01 released on February 20, 2016. LIBMF can solve more formulations than its previous versions and do disk-level training. Please check [3] for the details. Introduction LIBMF is an open source tool for approximating an incomplete matrix using the product of two matrices in
PythonInMusic - Python Wiki
This page is divided in three sections: Music software written in Python, Music programming in Python, and Music software supporting Python Music software written in Python Audio Players Bluemindo - Bluemindo is a really simple but powerful audio player in Python/PyGTK, using Gstreamer. Bluemindo is a free (as in freedom) software, released under GPLv3, only. cplay - a curses front-end for various
Simple DirectMedia Layer - Homepage
Simple DirectMedia Layer is a cross-platform development library designed to provide low level access to audio, keyboard, mouse, joystick, and graphics hardware via OpenGL and Direct3D. It is used by video playback software, emulators, and popular games including Valve's award winning catalog and many Humble Bundle games. SDL officially supports Windows, macOS, Linux, iOS, and Android. Support for
Lis: Library of Iterative Solvers for Linear Systems
反復解法ライブラリ Lis Download | Development Repository | Applications | Publications | Contact Introduction Lis (Library of Iterative Solvers for linear systems, 発音は[lis]) は, 偏微分方程式の数値計算に現れる離散化された線型方程式及び固有値問題を解くための並列反復解法ソフトウェアライブラリです. Lis をインストールするためには, C コンパイラを利用できる計算環境が必要です. また, Fortran インタフェースを使用するためには Fortran コンパイラ, 代数的マルチグリッド前処理を使用するためには Fortran 90 コンパイラが必要です. 並列計算環境では, OpenMP ライブラリまたは MPI ライブラリを使用し
The Julia Programming Language
Fast Julia was designed for high performance. Julia programs automatically compile to efficient native code via LLVM, and support multiple platforms. Dynamic Julia is dynamically typed, feels like a scripting language, and has good support for interactive use, but can also optionally be separately compiled. Reproducible Reproducible environments make it possible to recreate the same Julia environm
FFTW Home Page
Introduction FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). We believe that FFTW, which is free software, should become the FFT library of choice for most applications. The latest official releas
行列分解ライブラリredsvdを公開しました - DO++
大規模疎行列向けの行列分解ライブラリredsvdを公開しました． redsvd 大規模疎行列向けの特異値分解や主成分分析，固有値分解を行うライブラリredsvdを公開しました． 修正BSDライセンスで公開しており，コマンドラインから使える他，C++ライブラリが用意されています． 例えば，行と列数がそれぞれ10万，非零の要素が1000万からなる疎行列に対する上位20位までの特異値分解を約2秒で処理します． 特異値分解とか，使っている技術の詳細とか応用事例を以下に簡単に紹介しましたので，興味のある方は参考にしてください． 特異値分解とは まず行列を適当に復習します．行列Xの転置をX^tと表すことにします．またIを単位行列とし，Oを全ての成分が0である零行列とします．また，行列XX^t=IであるようなXを直交行列と呼びます．Xが直交行列の時，Xvはベクトルvを長さを変えずに回転させます．ここでは
MRPT — MRPT 2.13.6 documentation
About Mobile Robot Programming Toolkit (MRPT) provides developers with portable and well-tested applications and libraries covering data structures and algorithms employed in common robotics research areas. It is open source, released under the 3-clause BSD license. Get it Download MRPT: for installing for Linux or Windows. Compiling: to build from sources. Where to start Tutorials C++ API refe
Homepage — Modular toolkit for Data Processing (MDP)
News 09.03.2016 MDP 3.5 released! This is a bug-fix release Note that from this release MDP is in maintenance mode. 13 years after its first public release, MDP has reached full maturity and no new features are planned in the future. If you plan to do serious machine learning in Python, use sklearn. Note though that some algorithms, notably SFA and Growing Neural Gas, are only available in MDP. We
初心者への GNU autoconf のススメ
初心者への GNU autoconf のススメ Lynx Optimized Pages! This page is written in Japanese. 144922 accesses since 2001/07/27. 17 accesses per day. [ TOP ] 目次: はじめに なぜ autoconf? インストール 実際に使ってみる ひとまずプログラムを書く configure.in を作る Makefile.in を修正する configure.in を見ながらいろいろ修正する config.h を作ってみる 終わりに 謝辞 変更履歴 はじめに このドキュメントは、初心者とはいえ C プログラミングができて Makefile を記述することが 可能な人を対象にしています。 「使ってみたいけど、とっかかりがわからない」という人に読んでほしいです。 なぜ autoc
Run / Universal JavaScript Animation Framework / Start
Run is the easy and basic way to animate web content! You're right, this is YAAF - yet another animation framework. But some facts make it standing out from other frameworks: Easy and intelligent CSS support. Event listeners. Easy syntax. Well-documented. Compatible to all current browsers: Firefox 1+, Opera 8+, Internet Explorer 5.5+, Safari 2+, Konqueror Let's start the discussion about Run on
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GitHub - HIPS/autograd: Efficiently computes derivatives of numpy code.
Is there a good math/stats library for Scala?
GraphLab: A New Parallel Framework for Machine Learning
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