9 Repositories
Python stark-anatomy Libraries
Smart Tech Automation Remote via Kinematics Gesture control for IoT devices
STARK Smart Tech Automation Remote via Kinematics Gesture control for IoT devices View Demo · Report Bug · Request Feature Table of Contents About The
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Introduction This tutorial is a complete re-imagining of how one should teach users the matplotlib library. Hopefully, this tutorial may serve as insp
Scheme for training and applying a label propagation framework
Factorisation-based Image Labelling Overview This is a scheme for training and applying the factorisation-based image labelling (FIL) framework. Some
Tutorial for STARKs with supporting code in python
stark-anatomy STARK tutorial with supporting code in python Outline: introduction overview of STARKs basic tools -- algebra and polynomials FRI low de
The Body Part Regression (BPR) model translates the anatomy in a radiologic volume into a machine-interpretable form.
Copyright © German Cancer Research Center (DKFZ), Division of Medical Image Computing (MIC). Please make sure that your usage of this code is in compl
Encrypt your code without a worry. Stark utilizes the base64, hashlib and Crypto lib to encrypt your code which cannot be decrypted with any online tools.
Stark Encrypt your code without a worry. Stark utilizes the base64, hashlib and Crypto lib to encrypt your code which cannot be decrypted with any onl
PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"
Code for On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models This repository will reproduce the main results from our pape
Learning Spatio-Temporal Transformer for Visual Tracking
STARK The official implementation of the paper Learning Spatio-Temporal Transformer for Visual Tracking Hiring research interns for visual transformer
Learning Spatio-Temporal Transformer for Visual Tracking
STARK The official implementation of the paper Learning Spatio-Temporal Transformer for Visual Tracking Highlights The strongest performances Tracker