Deep-learning based semantic and instance segmentation for 3D Electron Microscopy and other bioimage analysis problems based on pytorch.
MIT License
Embed arbitrary modalities (images, audio, documents, etc) into large language models.
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Distributed segmentation for bio-image-analysis
PyTorch extensions for fast R&D prototyping and Kaggle farming
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such...
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
MambaOut: Do We Really Need Mamba for Vision?
Deep learning training framework for image super resolution and restoration.