Latest RAPIDS Related News

Faster Topic Modeling with BERTopic and RAPIDS cuML

  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

PyTorch + Rapids RMM: Maximize the Memory Efficiency of your Workflows

  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

Query cuSpatial about your (Spatial) Relationship

  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

  We've got so much stuff in our latest release, including cuML that can run on CPU or GPU!  
Tweet by RAPIDS AI

  In the time I spent trying to think of clever tweet, I could have done something clever with RAPIDS on data set that wouldn't have fit on disks in my dorm. Good thing no one has a robot to write tweet copy?  
Tweet by RAPIDS AI

  Please tag us in all your pretty pictures. If we get enough good stuff, who knows? Maybe we'll start an instagram.  
Tweet by RAPIDS AI