charlesyou999648 Goto Github PK

action

[IPMI'23 && MICCAI'23] ACTION Family: Anatomical Contrast Distillation for Semi-supervised Medical Image Segmentation

arco

[NeurIPS'23] Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective

awesome-deep-learning-papers

The most cited deep learning papers

awesome-rl

Reinforcement learning resources curated

best-readme-template

An awesome README template to jumpstart your projects!

cfr

clean-process-workflow

Clean Process Workflow

cmask-rcnn

Automatic Liver and Tumor Segmentation in CT Volumes via Mask-RCNN

cs131_notes_templates

Class notes for CS 131.

cs231a-notes

The course notes for Stanford's CS231A course on computer vision

cs234_rl

🐲 Stanford CS234 : Reinforcement Learning

cs341

Stanford CS341: Project in Mining Massive Data Sets @ Professor Jure Leskovec

denseinferencewrapper

A python wrapper for Krähenbühls dense CRF for medical image volumes.

distributed-tensorflow-example

An example of data parallelism and async updates of parameter in tensorflow.

gan-circle

IEEE TMI 2019. CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

gitignore

A collection of useful .gitignore templates

lits-challenge-liver-segmentation

miccai-lits2017

liver and liver tumor segmentation using deep learning

ml-dl-scripts

The repository provides usefull python scripts for ML and data analysis

mlsummary

Machine Learning Notes (Mainly from Stanford CS229 and Coursera courses taught by Andrew Ng)

mona

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels

morse

[MICCAI'23] Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts

nuset

NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells

oh-my-zsh

🙃 A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

resume

Software developer resume in Latex

resume-latex

resume LaTeX class and sample document

robot-motion-planning

Stanford AA 228 Final Project