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Dejan Štepec's Projects

acformer icon acformer

Code for Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection (ICCV 2023)

caffe icon caffe

Caffe: a fast open framework for deep learning. Fork maintained by shihenw in CMU.

capsnet-pytorch icon capsnet-pytorch

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

capsule-networks icon capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

eo-learn icon eo-learn

Earth observation processing framework for machine learning in Python

histomicsui icon histomicsui

A Girder plugin for pathology image annotations and analysis.

implicit icon implicit

Fast Python Collaborative Filtering for Implicit Datasets

kitt4sme.live icon kitt4sme.live

On a mission to bring AI to the shop floor: https://kitt4sme.eu/

large_image icon large_image

Python modules to work with large multiresolution images.

mcspatnet icon mcspatnet

Repository for ICCV2021 MCSpatNet: Multi-Class Cell Detection Using Spatial Context Representation

models icon models

Models and examples built with TensorFlow

nts-net icon nts-net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

pgt icon pgt

Prompt-based Grouping Transformer for Nucleus Detection and Classification

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pyvision icon pyvision

A simple, concise, and Pythonic computer vision toolkit.

segcaps icon segcaps

Official Implementation of the Paper "Capsules for Object Segmentation".

sentinelhub-py icon sentinelhub-py

Download and process satellite imagery in Python scripts using Sentinel Hub services.

turkic icon turkic

A simple framework to manage Mechanical Turk jobs.

vatic icon vatic

An extension to original vatic tools for human action labeling. vatic is an online, interactive video annotation tool for computer vision research that crowdsources work to Amazon's Mechanical Turk. Our tool makes it easy to build massive, affordable video data sets. Written in Python + C + Javascript, vatic is free and open-source software.

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