zhuemann

zhuemann's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python279k46.7k

• zhuemann/ConTEXTualSegmentation

  Language:Python7

• mhyounis/wiscobolt

  A deterministic, finite-element photon-electron Boltzmann transport solver for problems in radiation therapy.

  Language:Fortran11

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.6k2.3k

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.8k604

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.4k2.5k

• marshuang80/gloria

  GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition

  Language:Python18330

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.8k1.7k

• JunjieHu/cs769-assignments

  Language:Python734

• rruenroeng/KatNRyeMakeAPie

  This is a project to chronicle Kathryn and Ryan's journey toward making a Raspberry Pie that can read the moisture content of some house plants.

  Language:Python2

• JimenaGonzalez/Simulations-Double-Source-Gravitational-Lensing

  The simulations of gravitational lens systems are generated using the package Lenstronomy. This package support different types of lens models, light profiles of source and lens, point source options, imaging data information, noise properties of the data (PSF & pixelised convolution), and image simulations. These tools can be used to simulate systems with multiplane lensing in which there is more than one deflector.

  Language:Jupyter Notebook5