seanreed1111
I write picture books for kids about science and technology-related themes. Sometimes I also write code. Note: I do not look like this.
NYC
Pinned Repositories
christianrice-llm-demos
Code from presentations
colab-demos
intro-web-scraping
An introduction to Web Scraping with Python
keras-presentations
PSYCOPG2-LECTURE
RAOS-container-code
Space-Invaders-HTML-5
Space Invaders HTML 5
stats-lectures
streamlit-pages-experiment-2
yelp-reviews
Uses NLP to analyze nearly 3 million restaurant reviews from the Yelp dataset
seanreed1111's Repositories
seanreed1111/cnn-demos
seanreed1111/DAEFormer
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
seanreed1111/HiFormer
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
seanreed1111/rl-multi-agent-car-parking
Multi-Agent Car Parking using Reinforcement Learning.
seanreed1111/180DaysOfCode
Swift and Obj-C served up every day for 180 days in a row
seanreed1111/An-Introduction-to-Bayesian-Inference-in-PyStan
Code for blog post on Bayesian inference in PyStan
seanreed1111/az104
Exam AZ-104: Microsoft Azure Administrator Crash Course
seanreed1111/az400
Exam AZ-400: Microsoft Azure DevOps Solutions Crash Course
seanreed1111/azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
seanreed1111/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
seanreed1111/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
seanreed1111/BDA_py_demos
Bayesian Data Analysis demos for Python
seanreed1111/CaraNet
Context Axial Reverse Attention Network for Small Medical Objects Segmentation
seanreed1111/colab-1
seanreed1111/datasets
seanreed1111/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.
seanreed1111/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
seanreed1111/dp203-tim-warner
Exam DP-203: Data Engineering on Microsoft Azure Crash Course
seanreed1111/MT-UNet
Official Code for *Mixed Transformer UNet for Medical Image Segmentation*
seanreed1111/research-contributions-monai
Implementations of recent research prototypes/demonstrations using MONAI.
seanreed1111/self-supervised-3d-tasks
seanreed1111/Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
seanreed1111/shangtong-zhang-reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
seanreed1111/SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK
seanreed1111/simsiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
seanreed1111/tecton-book-recsys-apply-workshop
tecton as a feature store with recsys
seanreed1111/torchio-notebooks
seanreed1111/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).
seanreed1111/transdeeplab
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
seanreed1111/using-azure-ml-v1
Lab files for Azure Machine Learning exercises