mcs.anl.gov
PETSc: Home Page
http://www.mcs.anl.gov/petsc/petsc-as
Portable, Extensible Toolkit for. Manual pages and Users Manual. News: PETSc User Meeting. June 28-30, 2016. The current version of PETSc is 3.7. Released April 25, 2016. PETSc, pronounced PET-see. The S is silent), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It supports MPI, and GPUs through CUDA or OpenCL. As well as hybrid MPI-GPU parallelism. Of the PETSc libraries (and a recent podcast. From Han...
mogadala.com
IR/ML/NLP Toolkits and Datasets
http://www.mogadala.com/Toolkits_and_Datasets.html
Research,Travel and More. Will be Updated Soon. Nformation Retrieval(IR) is a broad topic. It has its dependency on different inter disciplinary topics like Mathematics, psychology etc. Areas in computer science which is contributing to IR are Machine Learning(ML) and Natural Language Processing(NLP). Over the years lot of growth is seen in these related areas to solve the problems in IR. Latest version of Lucene available is 3.0.3 .You can download the software from this link. Lucene and solr for the se...
ai.stanford.edu
Quoc Viet Le
http://ai.stanford.edu/~quocle
Quoc V. Le. Research Scientist, Google. Address: 1600 Amphitheatre Parkway Mountain View, CA 94043. PhD Student, AI Lab, Computer Science Department, Stanford University. Advisor: Professor Andrew Ng. Address: Room 110A, Gates Building, Stanford CA 94305. Is quoc.leviet and somewhere. I did my undergraduate at ANU. Canberra, Australia), under the supervision of Professor Alex Smola. I was also a research visitor at Dept Schölkopf. Max Planck Institute for Biological Cybernetics. Tübingen, Germany). ICML ...
alex.smola.org
Code
http://alex.smola.org/code.html
Elefant (Efficient Learning, Large-scale Inference, and Optimization Toolkit) is a Python open source library for machine learning licensed under the Mozilla Public License. The aim is to develop an open source machine learning platform which will become the platform of choice for prototyping and deploying machine learning algorithms. BMRM is an open source, modular and scalable convex solver for many machine learning problems cast in the form of regularized risk minimization problem. It is modular.
kioloa08.mlss.cc
Machine Learning Summer School - Speakers ANU - MLSS 08
http://kioloa08.mlss.cc/speakers
Wiki, Photos, Links. Online Learning, Regret Minimization, and Game Theory [slides]. Avrim Blum is Professor of Computer Science in the Department of Computer Science at Carnegie Mellon University. The first part of his tutorial will discuss adaptive algorithms for making decisions in uncertain environments (e.g., what route should I take to work if I have to decide before I know what traffic will like today? Latent Variable Models for Document Analysis [slides]. He will consider various problems in docu...
peekaboo-vision.blogspot.com
Peekaboo: Machine Learning Toolkits
http://peekaboo-vision.blogspot.com/2010/11/machine-learning-toolkits.html
Andy's Computer Vision and Machine Learning Blog. Monday, November 8, 2010. Wow So much to read today. While following link upon link, I found so many great toolkits that I think it is worth listing them here. One of the greatest sources was the GNU/Linux AI and Alife HOWTO. Edit] It's been a while since I wrote this blog post but still many people seem to find it, so here a quick update. After looking into many libraries, I started using scikit-learn. Maximum Entropy Modeling Toolkit for Python and C.
mlss08.rsise.anu.edu.au
Machine Learning Summer School - Speakers ANU - MLSS 08
http://mlss08.rsise.anu.edu.au/speakers
Wiki, Photos, Links. Online Learning, Regret Minimization, and Game Theory [slides]. Avrim Blum is Professor of Computer Science in the Department of Computer Science at Carnegie Mellon University. The first part of his tutorial will discuss adaptive algorithms for making decisions in uncertain environments (e.g., what route should I take to work if I have to decide before I know what traffic will like today? Latent Variable Models for Document Analysis [slides]. He will consider various problems in docu...
mcs.anl.gov
PETSc: Home Page
http://www.mcs.anl.gov/petsc
Portable, Extensible Toolkit for. Manual pages and Users Manual. News: PETSc User Meeting. June 28-30, 2016. The current version of PETSc is 3.7. Released April 25, 2016. PETSc, pronounced PET-see. The S is silent), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It supports MPI, and GPUs through CUDA or OpenCL. As well as hybrid MPI-GPU parallelism. Of the PETSc libraries (and a recent podcast. From Han...