Carrie Lui's repositories
2019-nCoV-Fit
SIR and SEIR model fitting for 2019-nCoV.
40th_place_solution_aptos2019-blindness-detection
This repo contains my Pytorch and Fast.ai versions of codes written for the APTOS 2019 Blindness Detection Competition hosted on Kaggle. My approach got us 37th place on the private leaderboard.
DataTurks
ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
deepcaps
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).
eSIR
Extended state-space SIR epidemiological models
EyeQ
EyeQ : Dataset of Retinal Image Quality Assessment
fast-bert
Super easy library for BERT based NLP models
fhir
FHIR Protocol Buffers
innvestigate
A toolbox to iNNvestigate neural networks' predictions!
Kaggle-2019-Blindness-Detection
7th-place solution code for https://www.kaggle.com/c/aptos2019-blindness-detection/overview.
kaggle-aptos2019-blindness-detection
11th place solution for APTOS 2019 Blindness Detection on Kaggle (https://www.kaggle.com/c/aptos2019-blindness-detection).
libsurv
A library of survival model collection
m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#) with zero dependencies
medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
mish
Mish Deep Learning Activation Function for PyTorch / FastAI
ML4MI_BootCamp
Code from the ML4MI Boot Camp.
nature_paper_predicting_dr_progression
Code to recreate the field-specific CNN pillars to predict DR progression as outlined in the Nature Digital Medicine paper of 2019
NCBI_BERT
NCBI_BERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
pysurvival
Open source package for Survival Analysis modeling
Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase
sparkling-water
Sparkling Water provides H2O functionality inside Spark cluster
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tensorflow-projects
A collection of deep learning projects using Tensorflow.
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos