Company profile
PyMC
Probabilistic Programming in Python
- Industry
- Research Services
- Employees
- 6
- Founded
- 2010
PyMC company summary
PyMC is a company in the Research Services industry, founded in 2010. On LinkedIn the company has around 6 employees.
What technology does PyMC use?
No technologies detected yet. Warmrank rechecks company websites on a rolling basis.
About PyMC
PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.
Compare companies similar to PyMC
More companies in Research Services.
| Company | Industry | Employees | Founded | Headquarters |
|---|---|---|---|---|
PyMC pymc.io | Research Services | 6 | 2010 | - |
 Google DeepMind deepmind.google | Research Services | 10,044 | 2010 | London, London, GB |
 PPD ppd.com | Research Services | 20,326 | - | Waltham, Massachusetts |
 Sony Research India sonyresearchindia.com | Research Services | 79 | 2020 | Bengaluru, Karnataka |
 CERN home.cern | Research Services | 8,126 | 1954 | Meyrin, Genève |
 NIH Innovates nih.gov | Research Services | 1,536 | - | Bethesda, MD |
| Research Services | 4,981 | 1901 | Gaithersburg, MD | |
 Forrester forrester.com | Research Services | 1,651 | - | Cambridge, MA |
 CSIRO csiro.au | Research Services | 6,785 | - | Acton, ACT |
 European Research Council (ERC) europa.eu | Research Services | 582 | 2007 | Saint-Josse-ten-Noode, Brussels |
| Research Services | 4,739 | 1916 | Ottawa, Ontario |
Frequently asked questions about PyMC
What does PyMC do?
PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.
How many employees does PyMC have?
PyMC has around 6 employees on LinkedIn.
When was PyMC founded?
PyMC was founded in 2010.
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