Name: Shirley Yu
Type: User
Company: Stevens Institute of Technology
Bio: Cognitive Science, Deep Learning, Multi-modal Learning, FinTech, Face Recognition, Bayesian Statistics, Data Science
Blog: https://www.linkedin.com/in/yangyang%EF%BC%88shirley%EF%BC%89-yu-88542174/
Shirley Yu's Projects
A modular active learning framework for Python3
Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
An open-source framework for training large multimodal models.
Vector database plugin for Postgres, written in Rust, specifically designed for LLM
[WIP] an implement of PinSage recommender system
Probabilistic Matrix Factorization in PyTorch
PyTorch bottom-up attention with Detectron2
pyrelational is a python active learning library for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.
pytorch tutorial for beginners
Graph Neural Network Library for PyTorch
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
This repository contains some datasets that I have collected in Recommender Systems.
Keras-based implementation of Relational Graph Convolutional Networks
ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Pytorch implementation of Relational GCN for node classification
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
PyTorch implementation of the models described in the IEEE ICASSP 2022 paper "Is cross-attention preferable to self-attention for multi-modal emotion recognition?"
BIA final project
Relation Schema Induction using SICTF
Bayesian Factorization with Side Information in C++ with Python wrapper
spaCy module for linking text to Wikidata items
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
StellarGraph - Machine Learning on Graphs
Project uploaded to Python community
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
code for paper : Streaming Bayesian Deep Tensor Factorization for ICML 2021