superpixel average pooling, superspixel max pooling, pytorch implementations
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Nov 14, 2018 - Cuda
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pytorch-cuda
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End-to-end system for generating compliant ID photos from user uploads, featuring a production-style workflow from raw images → segmentation/matting → face-aligned cropping → background synthesis → standardized outputs via API + Web UI.
nodejs docker-compose s3-bucket gcs data-pipelines cudnn cuda-toolkit nestjs gpu-cluster mtcnn-face-detection industrial-engineering rest-api-framework full-stack-application retinaface-detector modnet pytorch-cuda onnxruntime-gpu rmbg birefnet nvidia-gpu-cuda
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Nov 16, 2025 - JavaScript
Fast, context-aware, offline image renamer for Windows. Uses local AI vision models (Florence-2) to rename photos by their content. 1-click Windows Explorer context menu integration, 0 MB VRAM retention, and zero cloud dependencies.
computer-vision context-menu photo-organizer batch-renamer privacy-first pytorch-cuda windows-utility local-ai image-renaming offline-ai florence-2 ai-image-renamer
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Sep 28, 2026 - Python
Docker container for PyTorch CUDA
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May 25, 2024 - Dockerfile
Physics-based ideal racing line at Suzuka with GPU Monte Carlo uncertainty (4096 samples), rendered live in CesiumJS
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Sep 19, 2026 - Jupyter Notebook
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