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AstroBlaster collision modeling with Python physics
Dive into the world of physics simulations with this AstroBlaster collision modeling tutorial using Python! đđ„ In this video, we break down how to simulate space collisions, from basic physics ...
A core argument of Paramount Skydanceâs hostile takeover bid for Warner Bros. Discovery is this: WBDâs cable networks like CNN and TBS are not worth as much as the David Zaslav-led companyâs deal with ...
Kasie Hunt guest anchors CNNâs State of the Union. First, the top Democrat on the House Judiciary Committee, Rep. Jamie Raskin, joins Kasie to discuss the partial release of the Epstein files and ...
This project implements a Convolutional Neural Network (CNN) with a Guided Stochastic Gradient Descent (GSGD) optimizer in Python. This Python version is adapted from an original MATLAB implementation ...
This repository contains the code, tutorial PDF, and supporting materials for the assignment: âUnderstanding CNN Feature Extraction: Visualising Filters and Feature Maps on MNISTâ. The project ...
This project combines Google Earth Engine (GEE), Convolutional Neural Networks (CNN), and AlphaEarth embeddings for accurate water body detection using multi-source remote sensing data. GEE-CNN-Alpha/ ...
We propose a novel data-free universal adversarial attack method that leverages semantic samples drawn from a pseudo-semantic prior. The implementation is based on PyTorch. The commands below initiate ...
This repository implements a clean and reproducible pipeline for studying approximate computing on CNNs, including global pruning, fine-tuning, and dynamic INT8 quantization. Experiments cover ...
A comprehensive deep learning-based system for detecting deepfake images using TensorFlow/Keras. This project implements state-of-the-art CNN architectures (EfficientNetB0 and custom models) to ...
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