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followers: 5.0 following: 0.0 repos: 25.0 gists: 0.0

Name: Jiayi Chen

Type: User

Company: University of Virginia

Bio: I am a Ph.D. student at University of Virginia. My research interests include graph mining, federated learning, and multimodal machine learning

Location: Chalottesville

Jiayi Chen's Projects

3dmodel-to-2dart-dataset icon 3dmodel-to-2dart-dataset

A small dataset for generating art image from a real-world object (represented by multiple views of 3D model)

af-folia icon af-folia

A beautiful, simple, clean, and responsive Jekyll theme for academics

awesome-multi-task-learning icon awesome-multi-task-learning

2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

bandit-and-reinforcement-learning icon bandit-and-reinforcement-learning

Python implementation for Reinforcement Learning algorithms -- Bandit algorithms, MDP, Dynamic Programming (value/policy iteration), Model-free Control (off-policy Monte Carlo, Q-learning)

controlseqgeneration icon controlseqgeneration

A toy project for affective text generation via Controllable Sequence Generative Adversarial Network .

fedgraphnn icon fedgraphnn

A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

get-started-with-jax icon get-started-with-jax

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

jiayichen icon jiayichen

Build a Jekyll blog in minutes, without touching the command line.

libmtl icon libmtl

A PyTorch Library for Multi-Task Learning

multimodal-deep-learning icon multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

natural-language-processing-all icon natural-language-processing-all

Implementation of Bag of Words, Perceptron & Averaged Perceptron, Logistic Regression, POS Tagging, Hidden Markov Model, LSTM Language Model

social-media-mining icon social-media-mining

Python Implementation of algorithms in Social Media Mining, e.g., Recommendation, Collaborative Filtering, Community Detection, Spectral Clustering, Modularity Maximization, co-authorship networks.

tape icon tape

Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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