Image augmentation for machine learning experiments.
- image-augmentation
- machine-learning
- augmentation
- deep-learning
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Image augmentation for machine learning experiments.
An end-to-end production workspace for AI-generated short dramas. From script input to structured storyboarding, consistency management, shot preparation, video generation, and export.
TranslatedImage-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser. Image-driven 3D scene generation system
Simple OpenGL core profile loading
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Agent tooling for generative LEGO models building, built with Astra and Opus 5.5, powered by Jev
cell detection in calcium imaging recordings
Comi (可米) — a tiny 3D plush desktop companion for macOS and Windows: hops around, waves, claps her clapperboard and keeps you company while you work. Optional local status bridge for DSH / ZCode / Claude Code / Cursor / OpenCode / Codex. Zero dependencies.
Gaussian processes and Bayesian optimization for images and hyperspectral data
Pure Python library for reading NIS Elements ND2 images and metadata
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.