We are pleased to announce that sparklyr.flint, a sparklyr extension for analyzing time series at scale with Flint, is now available on CRAN. Flint is an open-source library for working with time-series in Apache Spark which supports aggregates and joins on time-series datasets.
With the rapid advance in NLP models we have outpaced out ability to measure just how good they are at human level language tasks. We need better NLP datasets now more than ever to both evaluate how good these models are and to be able to tweak them for out own business domains.
Posted by Google: Mathieu Guillame-Bert, Richard Stotz, Robert Crowe, Luiz GUStavo Martins (Gus), Ashley Oldacre, Kris Tonthat, Glenn Cameron, and Tryolabs: Ian Spektor, Braulio Rios,…
In this episode of Open Source Directions, we were joined by Thomas Wiecki once again who talked about the work being done with PyMC. PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning 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.
The field of Artificial Intelligence (AI) and Machine Learning (ML) has seen remarkable growth in recent years, shaping various industries and transforming the way we interact with technology. Open-source technologies have played a pivotal role in democratizing AI/ML, making cutting-edge tools accessible to developers and researchers worldwide. In this article, we will explore 100 open-source AI and ML technologies that are driving innovation and advancement in the field. Let’s delve into the list and discover why they are used.
In this episode of Open Source Directions we were joined by Aditya Mukhopadhyay who talked about the work he has been doing with RecallGraph. RecallGraph is a versioned-graph data store – it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present.
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