CSCI 566 - Deep Learning and its Applications

Spring 2022 • University of Southern California

Project: Langauge-Conditioned Variational Auto-Encoder (LCMVAE)

Team ID: HelloWorld

Team Members: Lei Cao, Yuncheng Qiu, Jullian Yapeter, Dongze Ye

Language-Conditioned Variational Auto-Encoder

Midterm results in OneDrive Folder (requires USC email)

Name		Name	Last commit message	Last commit date
Latest commit History 140 Commits
experiment_configs		experiment_configs
figures		figures
models		models
.gitignore		.gitignore
566_Final_Report.pdf		566_Final_Report.pdf
README.md		README.md
cuda11_requirements.txt		cuda11_requirements.txt
data_loader_demo.ipynb		data_loader_demo.ipynb
dataset.py		dataset.py
download_coco_2017.sh		download_coco_2017.sh
download_transformers.py		download_transformers.py
main.py		main.py
masks.py		masks.py
params.py		params.py
requirements.txt		requirements.txt
test.py		test.py
train.py		train.py
utils.py		utils.py
vae_baseline_script.py		vae_baseline_script.py
visualization_demo.ipynb		visualization_demo.ipynb