Pinned Repositories
.dotfiles
My dotfiles backup on Github.
big-data-project
breast_data_loader
casme
DAGAN
DAGAN: Data Augmentation Generative Adversarial Networks
DAGANs_on_mammogram
Class project for Deep Generative Models
darkscore
Visualize and compare dark score of multiple people
dspy
Stanford DSPy: The framework for programming with foundation models
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
NYC_Collision_Analysis
Final Project 1007
wooginawunan's Repositories
wooginawunan/.dotfiles
My dotfiles backup on Github.
wooginawunan/breast_data_loader
wooginawunan/casme
wooginawunan/DAGAN
DAGAN: Data Augmentation Generative Adversarial Networks
wooginawunan/DAGANs_on_mammogram
Class project for Deep Generative Models
wooginawunan/darkscore
Visualize and compare dark score of multiple people
wooginawunan/dspy
Stanford DSPy: The framework for programming with foundation models
wooginawunan/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
wooginawunan/fairlearn
A Python package to assess and improve fairness of machine learning models.
wooginawunan/generative_multitask_learning
This repository contains the code necessary to reproduce our paper "Generative multitask learning mitigates target-causing confounding" https://arxiv.org/abs/2202.04136.
wooginawunan/gpt-web-notes
Ideas realized by coding with ChatGPT
wooginawunan/gsdesign_chat
wooginawunan/H2G-Net
🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
wooginawunan/Master-Template
Template and style files for ICLR
wooginawunan/MIDLLatexTemplate
Latex template for the MIDL Conference
wooginawunan/ML_heathcare
Recent studies showed that it is not to be overlooked that the disagreement between radiologists when it comes to their diagnosis of screening mammogram with BI-RADS. There are some factors, such as patient's age and breast density, well-recognized that influences the performance of screening mammography. In this project, we further include other factors and analysis the effect their effects, especially features related with radiologists, such as their years of experience. Furthermore, based on those information, machine learning models are trained to denoise the labels for biopsy unrelated exams.
wooginawunan/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
wooginawunan/models
Models built with TensorFlow
wooginawunan/multi_modal_uncertainty
wooginawunan/multimodal
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
wooginawunan/OCT-Retinal-Layer-Segmenter
UNet based model that segment retina to 8 layers in OCT images
wooginawunan/RadFM
The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".
wooginawunan/reinforcementlearning
Homework or other related code for Deep RL
wooginawunan/test_dspy
wooginawunan/toolkit
A set of useful tools for DL experiments, project templates, etc.
wooginawunan/vision
Datasets, Transforms and Models specific to Computer Vision
wooginawunan/WassersteinGAN
wooginawunan/wgan_with_group_normalization
Deep learning project
wooginawunan/wooginawunan.github.io
a simple jekyll theme
wooginawunan/XDC
Self-Supervised Learning by Cross-Modal Audio-Video Clustering (NeurIPS 2020)