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YOLOv5 π in PyTorch > ONNX > CoreML > TFLite
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
This is the official implementation of "Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation" (Accepted at ACM MM 2024 as Oral).
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
The official repository of the paper "DCDepth: Progressive Monocular Depth Estimationin in Discrete Cosine Domain" (NeurIPS-2024)
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
Supporting PyTorch models with the Google AI Edge TFLite runtime.
For optimization algorithm research and development.
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
π¦ Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch