phme.it
What I Learned Today | No frills, just learn, everyday
http://www.phme.it/wilt
What I Learned Today. No frills, just learn. Little feature in Times Higher Education and elsewhere. Just for note to self (Andrea Idini) for the news review over my grant:. Https:/ www.timeshighereducation.com/news/grant-winners-7-january-2016. Http:/ www.britac.ac.uk/news/news.cfm/newsid/1344. Http:/ www.acmedsci.ac.uk/more/news/leading-international-researchers-awarded-newton-fellowships/. Http:/ andreaidini.brandyourself.com/. Proud little 99k . C# Lists and Dictionary. Bayesian concept of probabilit...
moalquraishi.wordpress.com
The State of Probabilistic Programming « Some Thoughts on a Mysterious Universe
https://moalquraishi.wordpress.com/2015/03/29/the-state-of-probabilistic-programming
Some Thoughts on a Mysterious Universe. The State of Probabilistic Programming. March 29, 2015. For two weeks last July, I cocooned myself in a hotel in Portland, OR, living and breathing probabilistic programming as a student in the probabilistic programming summer school. The school is part of the broader DARPA program on Probabilistic Programming for Advanced Machine Learning (PPAML). Which did a terrific job of organizing the event. Thankfully, they’re hosting the summer school again this year. Befor...
probabilistic-programming.org
Probabilistic Programming
http://www.probabilistic-programming.org/wiki/Special:Random
This website serves as a repository of links and information about probabilistic programming languages, including both academic research spanning theory, algorithms, modeling, and systems, as well as implementations, evaluations, and applications. If you would like to contribute to this site, please contact Daniel Roy. The site is still under construction: please help us link to relevant projects and research! Join the Probabilistic-Programming mailing list. The probabilistic programming approach. Which ...
bair.berkeley.edu
Berkeley Artificial Intelligence Research Lab
http://bair.berkeley.edu/software.html
Solver for sparse inverse problems in computational imaging. A framework for graph large-scale distribured graph structured computation. High-performing systems for a number of NLP tasks, including syntactic parsing, entity analysis, structured prediction, OCR, language modeling, and word alignment. BLOG probabilistic programming language (PPL). A general purpose probabilistic programming language designed for representing relations and uncertainties among real world objects. Open source deep learning.
