A2Zadeh

CMU-MultimodalSDK

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

TensorFusionNetwork

EMNLP 2017 (Oral): Tensor Fusion Network for Multimodal Sentiment Analysis Code

Variational-Autodecoder

A Generic Implementation of Variational Auto-Decoder (https://arxiv.org/pdf/1903.00840.pdf)

CE-CLM

CVPR 2017: Facial Landmark Detection using Convolutional Expert Constrained Local Model

Factorized-Multimodal-Transformer

Factorized Multimodal Transformer for Multimodal Sequential Learning

Social-IQ

[CVPR 2019 Oral] Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence

MARN

Code for Training Multi-attention Recurrent Network (AAAI 2018 Oral) for multimodal human communication comprehension

ACL_Challenge_HML_20

AZP2FA

Tools for force alignment

Standard-Grid

Standard-Grid @ Standard-SDK: standard protocol for reporting grid search results for students advised by me.

CMU-Crowd

starnet

StarNet: Gradient-Free Generative Modeling

face_counting

Repository for counting the number of unique faces

TensorFusionNetworks

Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.

ACL21_MultimodalAIWorkshop

MFN

Multilingual-Packaged-MFA-Aligner

MultimodalAIWorkshop22

Standard-Log

video_downloader

GridSearchSDK2

LTAE2

singularity

Singularity: Application containers for Linux