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First Release of the Year RAPIDS Release 23.02 is live. We are most excited to highlight several quality-of-life improvements. We have a new web presence for RAPIDS; we believe this will make learning, using, and adding to RAPIDS easier and more enjoyable than ever b... Post by Paul Mahler
Imbalanced-learn is the most popular open source library for resampling datasets with class imbalance. With more than 3 million downloads in the past month alone, it’s a critical piece of the data analysis and machine learning ecosystem. RAPIDS cuML is a suite of fas... Post by Nick Becker
It’s now easy to switch between CPU (NumPy / Pandas) and GPU (CuPy / cuDF) in Dask. As of Dask 2022.10.0, users can optionally select the backend engine for input IO and data creation. In the short-term, the goal of the backend-configuration system is to enable Dask ... Post by Rick Zamora
BERTopic is a topic modeling framework that brings neural network embeddings and classical machine learning techniques together into a state-of-the-art solution. The library provides a friendly user interface for many different tasks, including guided, supervised, se... Post by Maarten Grootendorst
GPU-accelerated machine learning is producing fascinating results across a wide range of fields on a seemingly daily basis. While neural networks are usually the focus of attention, data pre-processing and preparation is just as important and often a bottleneck in ma... Post by Ashwin Srinath
cuSpatial 22.12 focused on progress toward four primary goals: distance queries, spatial relationship queries, linestring intersection, and low-level C++ refactoring and iteration support. cuSpatial 22.12 takes steps towards rich support of spatial relationship queri... Post by Michael Wang
