carolzhy

Pinned Repositories

anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Language:Python0 0 00
causal-inference-in-R
Causal Inference in R: A book!
Language:TeX0 0 00
cs182
Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
Language:Jupyter Notebook0 0 00
cs182-1
CS182/282 Designing, Visualizing and Understanding Deep Neural Networks @ Berkeley
Language:Jupyter Notebook0 0 00
DSSCN
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Information Sciences 495.
Language:MATLAB4 0 02
geektime-books-epub
:books: 极客时间电子书 geektime-books-epub
0 0 00
jupyter-vim-binding
Jupyter meets Vim. Vimmer will fall in love.
Language:JavaScript0 0 00
Mathematical-Modeling-In-Python
用Python实现了《数学建模算法与应用》第二版中的部分示例代码. (原书中使用的是Matlab)
Language:Jupyter Notebook00
MCM-ICM
Learning materials and codes of MCM/ICM
Language:MATLAB0 0 00
MedCLIP
EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts
Language:Python0 0 00

carolzhy's Repositories

carolzhy/DSSCN
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Information Sciences 495.
Language:MATLAB4 0 02
carolzhy/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Language:Python0 0 00
carolzhy/causal-inference-in-R
Causal Inference in R: A book!
Language:TeX0 0 00
carolzhy/cs182
Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
Language:Jupyter Notebook0 0 00
carolzhy/cs182-1
CS182/282 Designing, Visualizing and Understanding Deep Neural Networks @ Berkeley
Language:Jupyter Notebook0 0 00
carolzhy/geektime-books-epub
:books: 极客时间电子书 geektime-books-epub
0 0 00
carolzhy/jupyter-vim-binding
Jupyter meets Vim. Vimmer will fall in love.
Language:JavaScript0 0 00
carolzhy/Mathematical-Modeling-In-Python
用Python实现了《数学建模算法与应用》第二版中的部分示例代码. (原书中使用的是Matlab)
Language:Jupyter Notebook00
carolzhy/MCM-ICM
Learning materials and codes of MCM/ICM
Language:MATLAB0 0 00
carolzhy/MedCLIP
EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts
Language:Python0 0 00
carolzhy/Medical-Report-Generation
A Pytorch Implementation: Multimodal Recurrent Model with Attention for Automated Radiology Report Generation
carolzhy/Medical-Report-Generation-1
For given chest x-ray image,a deep learning model generates medical report. 1) In this we have used merge architecture of Encoder decoder model and BLUE score as performance metric. 2)Model has given 94% score on test data.
Language:Jupyter Notebook0 0
carolzhy/Medical-Report-Generation-using-Deep-Learning
Generating Medical Reports using Chest X-Rays
Language:Jupyter Notebook0 0
carolzhy/ml-genomics-resources
Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)
0 0
carolzhy/PathomicFusion
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Language:Jupyter Notebook0 0
carolzhy/private-ml-for-health
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
Language:Python0 0
carolzhy/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
Language:Python0 0
carolzhy/Survival-analysis-in-R
Coursera: Survival analysis in R for public health - Alex Bottle (Imperial College London)