GitHub

TurboQuant PyTorch — Implementation + Deep Tutorial

A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...
marktechpost

An Implementation Guide to Running NVIDIA Transformer Engine with Mixed Precision, FP8 Checks, Benchmarking, and Fallback Execution

In this tutorial, we implement an advanced, practical implementation of the NVIDIA Transformer Engine in Python, focusing on how mixed-precision acceleration can be explored in a realistic deep ...
marktechpost

A Comprehensive Implementation Guide to ModelScope for Model Search, Inference, Fine-Tuning, Evaluation, and Export

In this tutorial, we explore ModelScope through a practical, end-to-end workflow that runs smoothly on Colab. We begin by setting up the environment, verifying dependencies, and confirming GPU ...
GitHub

Selenium script in Python to automatically complete lessons and excercises from W3Schools tutorials

Otherwise, argparse library won't work. Compatibility for older versions in the making. --tutorial and --exercise are boolean arguments. Type the argument without any value (as in example above) for ...