Haoyulance
Ph.D. Candidate in Neuroscience @ USC || Research Assistant @ LONI || M.S in EE @ USC
University of Southern California
Pinned Repositories
AutoEncoder_based_on_MNIST_dataset
Using TensorFlow to build AutoEncoder based on MNIST dataset
Convolutional-Neural-Network-with-TensorFlow
Some realization and convolutional layer visualization of CNN by TensorFlow
Customers-Behavior-Analysis-with-Spark
The project of music app platform's churn prediction and music recommendation using spark
DynamicWord2Vec
Dynamic Word Embeddings for Evolving Semantic Discovery code.
LSTM-and-GAN-with-TensorFlow
quac
Question Answering In Context
SC-GAN
SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis
Stack_overflow_Assistant
Stack Overflow Assistant Chatbot
Web-App-for-Sentiment-Analysis
2019 HackSC Project
WPSS
Weakly supervised perivascular spaces segmentation with salient guidance of Frangi filter
Haoyulance's Repositories
Haoyulance/SC-GAN
SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis
Haoyulance/WPSS
Weakly supervised perivascular spaces segmentation with salient guidance of Frangi filter
Haoyulance/LSTM-and-GAN-with-TensorFlow
Haoyulance/Stack_overflow_Assistant
Stack Overflow Assistant Chatbot
Haoyulance/AutoEncoder_based_on_MNIST_dataset
Using TensorFlow to build AutoEncoder based on MNIST dataset
Haoyulance/Convolutional-Neural-Network-with-TensorFlow
Some realization and convolutional layer visualization of CNN by TensorFlow
Haoyulance/Customers-Behavior-Analysis-with-Spark
The project of music app platform's churn prediction and music recommendation using spark
Haoyulance/DynamicWord2Vec
Dynamic Word Embeddings for Evolving Semantic Discovery code.
Haoyulance/Emotion-Evaluator
:stuck_out_tongue_winking_eye: The Web App, based on NLP, could evaluate speaker's emotion by what they are saying. There are five levels, including Painful, Sad,Normal, Happy, Excited. All of them are expressed by funny emojis. Technologies used in the app includes Python Flask, GCP AppEngine and GCP API(Speech to Text, Natural Language Process ), Bootstrap and etc.
Haoyulance/quac
Question Answering In Context
Haoyulance/Web-App-for-Sentiment-Analysis
2019 HackSC Project
Haoyulance/hand-reconstruction
Single Image 3D Hand Reconstruction with Mesh Convolutions
Haoyulance/IMDB_sentiment_analysis_with_RNN
IMDB reviews analysis with Recurrent Neural Network
Haoyulance/Leetcode
🎓Leetcode solutions in Python 📚
Haoyulance/Mining_NeuroAnat
Neuroanatomical morphometric characterization of sex differences using univariate linear regression and multivariate statistical learning
Haoyulance/niftytorchprep
BIDS to NiftyTorch: data preparation for deep learning
Haoyulance/python-cheatsheet
Comprehensive Python Cheatsheet
Haoyulance/Relation-Network-Tensorflow
Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.
Haoyulance/stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
Haoyulance/Uber_Churn_Prediction_Analysis
The project of using current popular supervised learning algorithms to make Uber users' churn prediction and analyzing the results
Haoyulance/wtnic-release
Haoyulance/Yelp_NLP_project
The project of using yelp dataset to make NLP analysis