Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
InfoWorld

Get started with Python’s new native JIT

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...
GitHub

A new python native silicion architecture leveraging chiplets and fpga with a unified memory arena

PyNS: Python-Native Silicon PyNS is an experimental open-source architecture designed to execute Python logic directly in silicon. By moving the interpreter, memory management, and garbage collection ...
IEEE

On Automating FPGA Design Build Flow Using GitLab CI

Abstract: Building and testing software for embedded systems can be challenging with an impact on delivery time, design reproducibility, and collaboration among project contributors. To accelerate ...
IEEE

Integrating Verilog Simulation with Python Automation: A ModelSim and Colab Framework for FPGA Design and Analysis

Abstract: Field-Programmable Gate Arrays (FPGAs) are pivotal in modern hardware development, offering a flexible and efficient platform for implementing digital systems. Traditional workflows for FPGA ...
GitHub

Hardware-accelerated SHA-256 implemented on a PYNQ-Z2 FPGA. Includes custom SystemVerilog IP, AXI4-Lite/DMA integration, and Python/Jupyter interface. Achieves faster hashing ...

This repository contains the full implementation and documentation of a hardware-accelerated SHA-256 hashing engine developed as a final university project. The project leverages the Xilinx PYNQ-Z2 ...