11. Open Platform for Enterprise AI (OPEA) OPEA is a framework that can be used to provide a variety of common generative AI ...

Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

So today’s value in this project lies not in something that you should run out and do yourselves, but instead in what the work tells us about the nuts and bolts of parallel processing architecture.

Python is a widely used language in scientific computing. When the goal is high performance, however, Python lags far behind low-level languages such as C and Fortran. To support applications that ...

HiSpatialCluster Clustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

Pro In-memory processing using Python promises faster and more efficient computing by skipping the CPU News By Wayne Williams published 3 December 2024 ...

Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.

The best parallel processing libraries for Python Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.