The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"

[arXiv 2023] Putting the Object Back Into Video Object Segmentation

Workflows that utilise BrainGlobe tools to perform data analysis and visualisation.

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Fiji pipeline for automated serial section reconstruction and mouse brain analysis.

A batched offline inference oriented version of segment-anything

Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Python

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

A multi-voice TTS system trained with an emphasis on quality

Advanced Normalization Tools in Python

SmartSPIM module to generate OMEZarr data from fused images

Stitching and fusion pipeline in the cloud

Takes the output of segmentation and ccf registration to calculate cell counts per brain region

Visual Instruction Tuning: Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.

Official implementation of the paper "Segment Everything Everywhere All at Once"

Segment Anything for Microscopy

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.

SimBA (Simple Behavioral Analysis), a pipeline and GUI for developing supervised behavioral classifiers