A compilation of various ML and DL models and ways to optimize the their inferences.
This is a demonstration of running Pandas and machine learning operations on GPU using Nvidia Rapids
Accelerated Multi-Touch Attribution (MTA) & Budget Optimization platform powered by FastAPI, NVIDIA RAPIDS cuDF, and Google Gemini. Features 5 math engines, dynamic budget simulation, and security sanitization controls.
This computational neuroscience pipeline leverages GPU acceleration (via RAPIDS) to perform RSA on NSD fMRI beta-series data across various ROIs. It seeks to quantify the alignment between neural RDMs and semantic feature RDMs derived from VLMs, offering reproducible insights into the neural coding of scene-level and object-level semantics
AI-powered decision intelligence platform that transforms unstructured business communications into explainable insights, risk scores, and prioritized actions using Google Gemini, Google Cloud, NVIDIA RAPIDS, and Streamlit.
Production guide for NVIDIA RAPIDS Accelerator on GKE — GPU Spark configuration, qualification, tuning, and honest benchmarking results
GPU-Accelerated Sustainable Agriculture & Governance Platform for Indian Farmers and District Officers, powered by Google Cloud Run, Gemini Enterprise AI Agents, Looker Studio, and NVIDIA RAPIDS.
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