Sean Reed's repositories

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HiFormer

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

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rl-multi-agent-car-parking

Multi-Agent Car Parking using Reinforcement Learning.

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180DaysOfCode

Swift and Obj-C served up every day for 180 days in a row

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An-Introduction-to-Bayesian-Inference-in-PyStan

Code for blog post on Bayesian inference in PyStan

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az104

Exam AZ-104: Microsoft Azure Administrator Crash Course

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az400

Exam AZ-400: Microsoft Azure DevOps Solutions Crash Course

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azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

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batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

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bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

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BDA_py_demos

Bayesian Data Analysis demos for Python

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CaraNet

Context Axial Reverse Attention Network for Small Medical Objects Segmentation

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denny-britz-reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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dp203-tim-warner

Exam DP-203: Data Engineering on Microsoft Azure Crash Course

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MT-UNet

Official Code for *Mixed Transformer UNet for Medical Image Segmentation*

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RAOS-Examples

Regression and other stories R examples

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research-contributions-monai

Implementations of recent research prototypes/demonstrations using MONAI.

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Self-supervised-Fewshot-Medical-Image-Segmentation

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

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shangtong-zhang-reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

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simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

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Statistical-Rethinking-with-Python-and-PyMC3

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

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tecton-book-recsys-apply-workshop

tecton as a feature store with recsys

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TransBTS

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

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transdeeplab

TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation

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using-azure-ml-v1

Lab files for Azure Machine Learning exercises

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