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Hi there 👋

Here are some ideas to get you started:

  • 🔭 I’m currently working on Healthcare AI
  • 🌱 I’m currently learning machine learning and clinical trial
  • 👯 I’m looking to collaborate on AI Healthcare related topics
  • 🤔 I’m looking for help with Healthcare
  • 💬 Ask me about Digital Healthcare Related Question
  • 📫 How to reach me: [email protected]
  • 😄 Pronouns: Contributor to RADAR-IoT, PyMC3
  • ⚡ Fun fact: Pursuing PhD degree in NUS

chang111's Projects

thundergbm icon thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

time-series-prediction icon time-series-prediction

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

tods icon tods

TODS: An Automated Time-series Outlier Detection System

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

trellisnet icon trellisnet

[ICLR'19] Trellis Networks for Sequence Modeling

uer-py icon uer-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

wavegan icon wavegan

WaveGAN: Learn to synthesize raw audio with generative adversarial networks

wavegrad icon wavegrad

Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.

www2021 icon www2021

This is the official repository to release the code and datasets in the paper "Mining Dual Emotion for Fake News Detection", WWW 2021.

x-medrela icon x-medrela

Source Code for ACL 2020 paper, "Rationalizing Medical Relation Prediction from Corpus-level Statistics"

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