Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
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Stable Diffusion web UI
AI-Powered Photos App 🌈💎✨
p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. Looking for p5.js 2.0? http://beta.p5js.org
Translated⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. A lightweight AI algorithm for making ID photos.
Image augmentation for machine learning experiments.
Open3D: A Modern Library for 3D Data Processing
🐍 Geometric Computer Vision Library for Spatial AI
Content aware image resize library
CUDA Templates and Python DSLs for High-Performance Linear Algebra
A self-hosted open source photo management service.
Optimized primitives for collective multi-GPU communication
A PyTorch Library for Accelerating 3D Deep Learning Research
Image augmentation library in Python for machine learning.
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon
Magenta.js: Music and Art Generation with Machine Learning in the browser
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.
Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.
Machine learning compiler in Go. A from-scratch tinygrad port: graph-rewrite IR, autodiff as a compiler pass, zero-CGO WebGPU backend.
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
3D shape analysis using deep learning
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
Panoptic segmentation algorithms for 2D and 3D electron microscopy images