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 ...
Developer Tech

Google TorchTPU enables native PyTorch AI execution

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for ...
Computer Weekly

PyTorch Foundation lights up welcomes for Helion & Safetensors

The PyTorch Foundation also welcomed Safetensors as a PyTorch Foundation-hosted project. Developed and maintained by Hugging ...
diginomica

PyTorch Foundation adds Helion and Safetensors - and the open AI stack gets a little harder to ignore

Mark Collier briefed me on two updates under embargo at KubeCon Europe 2026 last month: Helion, which opens up GPU kernel ...
The Daily Northwestern

NU students help D65 5th graders turn Python code into music

Trumpet blares, fading sounds of heartbeats and a ringing alarm clock. These aren’t sound effects for a movie — rather, for ...
GitHub

CNN for Facial Expression Recognition

This project presents a comprehensive tutorial on Convolutional Neural Networks (CNNs), combining theoretical understanding with practical implementation. The focus of this tutorial is to demonstrate ...
marktechpost

Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)

Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the ...