lewislou Goto Github PK

cell-detr

Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].

cellpose-napari

napari plugin for cellpose (see www.cellpose.org) - an anatomical segmentation tool

cellseg-sribd

The code implementation for cell segmentation

cellseg_sribd_napari

napari plugin for cellseg-sribd (https://openreview.net/forum?id=G24BybwKe9) - an anatomical segmentation tool for multi-modal cell images

comp6248-reproducability-challenge

COMP6248-Reproducability-Challenge: Reproduce the paper:UNDERSTANDING AND ROBUSTIFYING DIFFERENTIABLE ARCHITECTURE SEARCH

densecl

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021.

dynamicofa

[CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms

flare22

Champion Solution of MICCAI FLARE22 Challenge from Team Blackbean

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

hub-docs

Frontend components, documentation and information hosted on the Hugging Face website.

huggingface_hub

All the open source things related to the Hugging Face Hub.

intelligent-agent

The MSc Artificial Intelligent module of UoS

label-effcient-nuclei-segmentation

Official code implementation for paper 'Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework'

lewislou.github.io

machine_learning_reproduce

neurips-cellseg

Naive baseline for microscopy image segmentation challenge in NeurIPS 2022

pytorch-pratical-learning

The deep learning course lab based on pytorch

qiuzhao2020

realtime-face-recognition

Improve dlib programme and combine other method

reinforcement-and-online-learning

Labs of reinforcement and online learning

scene-recognition-with-bag-of-words

Scene recognition with bag of SIFT and Support Vector Machine (SVM)

senucls

This is the official PyTorch implementation of Structure Embedded Nucleus Classification for Histopathology Images

transfer-learning-scene-recognition