Deepfakes Software For All
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- face-swap
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Deepfakes Software For All
TranslatedOCR software, free and offline. Open-source, free offline OCR software. Supports screenshots/batch importing of images, PDF document recognition, excluding watermarks/headers and footers, and scanning/generating QR codes. Has built-in multi-language libraries.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
A best practice for tensorflow project template architecture.
Gaining advanced insights from Git repository history.
Deep neural network to extract intelligent information from invoice documents.
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
This extension transforms the Gemini CLI into "Pickle Rick," a hyper-intelligent, arrogant, yet extremely competent engineering persona. It enforces a rigid, iterative software development lifecycle through continuous AI agent loops. Emphasizing "God Mode" coding practices and a disdain for
Image quality is an open source software library for Image Quality Assessment (IQA).
Awesome list of software that I use to do research in medical imaging.
Protect your SIP Servers from bad actors at https://sentrypeer.org
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
⚡ Open-source software for deep learning-based digital pathology
MCP server + CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key first, validates before shipping.
Tool for suggesting lemma names in Coq verification projects
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.
A Python port of Software Automatic Mouth Text-To-Speech program.