Stars
NEURD: A mesh decomposition framework for automated proofreading and morphological analysis of neuronal EM reconstructions
Transforms for navis that enable mapping between different Drosophila template brains.
Python library for analysis of neuroanatomical data.
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Tutorial and source code based on CloudVolume and MeshParty for easy retrieval of neuron meshes and EM data for Blender visualization.
Code for "SAM-guided Graph Cut for 3D Instance Segmentation" ECCV 2024
Awesome-LLM: a curated list of Large Language Model
Virtual whiteboard for sketching hand-drawn like diagrams
Unofficial edge detection implementation using the Automatic Mask Generation (AMG) of the Segment Anything Model (SAM).
utility code for AxonEM challenge
A Python package using Gromov-Wasserstein distance to compare cell shapes
A Python package for evaluating the topological accuracy of a neuron segmentation by computing skeleton-based metrics.
Repository of scripts to facilitate participation in CellMap's segmentation challenge. This includes downloading data, simple setups for training 2D and 3D models, workflows for prediction and post…
A framework for easy application of established machine learning techniques on large, multi-dimensional images.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Imbalanced learning tool for imbalanced recognition and segmentation
A curated list of awesome resources for dichotomous image segmentation (DIS).
This is the python client for accessing REST APIs within the Connectome Annotation Versioning Engine.
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
NeuProofreader:An Interactive Neuron Proofreading System with Algorithmic Prompts for Connectomics
Comprehensive platform for automated large-scale connectomics. Segmentation and Detection models built upon Funke lab's algorithms.
Official implementation, datasets and trained models of "SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model"