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.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
OpenCV wrapper for .NET
NVIDIA cuML: GPU-Accelerated Machine Learning
Optimized primitives for collective multi-GPU communication
A PyTorch Library for Accelerating 3D Deep Learning Research
Run Keras models in the browser, with GPU support using WebGL
Interactive Image Generation via Generative Adversarial Networks
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Accelerated deep learning R&D
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.
Algorithms for outlier, adversarial and drift detection
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.