GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
IEEE

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

Abstract: Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually ...
GitHub

pydecipher: unfreeze and deobfuscate your frozen python code

pydecipher is a Python package to unpack/unfreeze and analyze frozen Python artifacts with the ultimate goal of producing the artifact's underlying, high-level, Python source code. pydecipher can be ...
IEEE

BASNet: Boundary-Aware Salient Object Detection

Abstract: Deep Convolutional Neural Networks have been adopted for salient object detection and achieved the state-of-the-art performance. Most of the previous works however focus on region accuracy ...