yujing1997 Goto Github PK

2d-vq-ae-2

2D Vector-Quantized Auto-Encoder for compression of Whole-Slide Images in Histopathology

adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

anonymize-slide

Delete the label from a whole-slide image

auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

awesome-self-supervised-learning-for-tabular-data

A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)

awesome-self-supervised-multimodal-learning

A curated list of self-supervised multimodal learning resources.

bioformer_og

Bioformer: an efficient BERT model for biomedical text mining

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

cardiac_fnn_ca_cnn

Creating synthetic FHN data where each value corresponds to an equivalent state in CA

cascaded-fcn

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

cascaded-fcn-liver

chromark

Code for the manuscript: "Single-cell imaging-AI based chromatin biomarkers for diagnosis and therapy evaluation in tumor patients using liquid biopsies". Code was developed by Daniel Paysan

clinicalbert

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

comp551a1

The first Mini Project for McGill's COMP551 (Applied Machine Learning) Course.

convoca

Predict and analyze cellular automata using convolutional neural networks

covid-net

COVID-Net model for COVID-19 detection on COVIDx dataset

covid19_weak_supervision

WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images

crane

Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine

crc_dl_survival_curves

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cs231n.github.io

Public facing notes page

ctcnn

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

datasynthesizer

deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearninghnscc

Deep Learning Survival Models for HNSCC

deeppath

Classification of Lung cancer slide images using deep-learning