Thanks to the efforts of academia, AI labs, and others, significant progress continues to be made in deep learning, machine learning, and data science in general. However, it’s thanks to the open source projects that many of these advances are quickly accessible to data scientist and developers.
As such, we at ODSC want to bring light to those in data science who are creating notable advancements in the field. At each conference, we award one project that is making a significant contribution to the field – a project that can be used to help countless organizations turn ripples into waves, positively impacting the community at large. Open source data science offerings allow advancements to be made in all fields, ranging from health and security to entertainment and quality of life improvements.
The Open Source Data Science Project award is given in recognition for the significant contributions made by an open source project to the field of data science. At ODSC London 2018, we were honored to have Dr. Thomas Wiecki of Quantopian accept the award on behalf of the PyMC3 project team.
PyMC3 is a probabilistic programming package for Python that allows users to fit Bayesian models using a variety of numerical methods, most notably Markov chain Monte Carlo (MCMC) and variational inference (VI). Its flexibility and extensibility make it applicable to a large suite of problems. Along with core model specification and fitting functionality, PyMC3 includes functionality for summarizing output and for model diagnostics.
Support PyMC3 and help it become an even more successful project! Consider donating and learn more here.
ODSC Grant :
The ODSC Team is excited to continue promoting and supporting data science and AI projects in the open source space. If you are a part of a team or know of a team that is pushing the limits of open-source data science, please apply for an ODSC Grant here and learn more. The ODSC grant is a monthly $2,000 no string attached, grant to fund your project (awarded monthly).