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accelerator

ChameleonAI is an open-source, hardware-agnostic AI inference optimization platform designed to deliver maximum performance, energy efficiency, and adaptability across any AI hardware, including Nvidia, AMD, Intel, Huawei, Apple, and emerging accelerators.

It features self-learning optimizations, predictive scheduling, mixed-precision tuning, and security-aware execution, ensuring models run faster, smarter, and safer. ChameleonAI supports cloud, edge, and embedded deployments, with developer-friendly profiling, benchmarking, and plugin tools for full control and transparency. https://roxanneardary.com/chameleonai/

MapROM utility for Matze's 68020 cpu card

An example of tabular data regression (parameter estimates) using TabNet

Python project for inverse modeling of accelerator lattices.

CNN Scheduling Framework

Short exercises for GPU at Complutense University of Madrid

Challenges completed during a week of pair programming with THG Accelerator