GitHub

A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.

Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
IEEE

Integrating Deep Learning and Python for Effective Sign Language Recognition

Abstract: The advancement in technology has improved the accessibility of communications for a person with hearing impairment significantly. A full implementation approach for sign language ...
GitHub

MCPServer.cpp

MCPServer.cpp is a high-performance, cross-platform server implementation of the Model Communication Protocol (MCP) written in modern C++. It enables seamless communication between AI models and ...
Geeky Gadgets

NotebookLM Deep Research vs Fast Research, When to Use Each

What if you could turn a complex research project or an overwhelming workload into a seamless, almost effortless experience? NotebookLM promises to do just that, offering a smarter, more intuitive way ...
IEEE

Xception Model for Accurate Indian Rock Python Detection in Deep Learning

Abstract: The growing contacts between people and Indian rock reptiles, especially Russell's Viper and Python, have made precise and early identification more important to guarantee public safety and ...
InfoWorld

CPython vs. PyPy: Which Python runtime has the better JIT?

PyPy, an alternative runtime for Python, uses a specially created JIT compiler to yield potentially massive speedups over CPython, the conventional Python runtime. But PyPy’s exemplary performance has ...