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When do we not need larger vision models?
The Complete Claude Code CLI Guide - Live & Auto-Updated Every 2 Days
Hardware control library for microscopes via Pycromanager (Micro-Manager)
A recast of cell segmentation models built on the Burn deep learning framework.
carpenterlab / unet4nuclei
Forked from jr0th/segmentationU-net based segmentation of nuclei in microscopy images
[NeurIPS 2025] Official code for JAFAR: Jack up Any Feature at Any Resolution
Source code for "Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection"
Testing adaptation of the DINOv2/3 encoders for vision tasks with Low-Rank Adaptation (LoRA)
A simple automated feedback microscopy tool for live tracking of moving samples.
Interactive Platform to investigate colony morphology for the AIEBaB 2026 Hackathon
Segment images utilizing pre-trained neural networks as feature extractors
[ICLR '26 Oral] Official repository of the paper "AnyUp: Universal Feature Upsampling".
An MIT License of YOLOv9, YOLOv7, YOLO-RD
Python class for calculating confusion matrix for object detection task
Richardson-Lucy deconvolution with local stopping given by gradient consensus
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information