Stable Diffusion web UI
- deep-learning
- diffusion
- image-generation
- image2image
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Stable Diffusion web UI
Image augmentation for machine learning experiments.
🐍 Geometric Computer Vision Library for Spatial AI
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
A PyTorch Library for Accelerating 3D Deep Learning Research
Image augmentation library in Python for machine learning.
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
World's first general purpose 3D object detection codebse.
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Automated 3D cell detection in very large images
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
A tool for cell instance aware segmentation in densely packed 3D volumetric images
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