Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
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Stable Diffusion web UI
Image augmentation for machine learning experiments.
FlashMLA: Efficient Multi-head Latent Attention Kernels
🐍 Geometric Computer Vision Library for Spatial AI
CUDA Templates and Python DSLs for High-Performance Linear Algebra
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
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.
Free Figma alternative made on Rust
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
TranslatedBeat-driven sci-fi light-ring visualization. Pure Canvas, single HTML, zero dependencies. Noncommercial use only. RYDER CODE / Ms MAIKEBAIs CAT | Supports Wallpaper Engine animated wallpapers.
A local-first infinite canvas for UI design — one your agent can edit. Desktop app, MCP-native.
TranslatedA close clone of Unity Shader Graph, a special edition for WGSL
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