Accelerated WEKA integrates the WEKA workbench with Python and Java libraries that support GPU to speedup the training and prediction time of machine learning models. 12 MIN READ

This post discusses infrastructure factors to consider, such as performance, hardware, and types of AI software for implementing a fraud prevention strategy. 7 MIN READ

Transformers4Rec makes it easy to use SOTA NLP architectures for sequential and session-based recommendation by leveraging HuggingFace Transformers. 8 MIN READ

Using Numba and PyOptiX, NVIIDA enables you to configure ray tracing pipeline and write kernels in Python compatible with the OptiX pipeline. 13 MIN READ

Learn how RAPIDS cuDF accelerates data science with the help of GPUDirect Storage. Dive into the techniques that minimize the time to upload data to the GPU. 14 MIN READ

Demonstrate your computer vision expertise by mastering cloud services, AutoML, and Transformer architectures. 9 MIN READ