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GitHub / declare-lab / Multimodal-Infomax
This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at EMNLP 2021.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/declare-lab%2FMultimodal-Infomax
Stars: 139
Forks: 32
Open Issues: 1
License: mit
Language: Python
Repo Size: 145 KB
Dependencies:
61
Created: over 2 years ago
Updated: about 2 months ago
Last pushed: about 1 year ago
Last synced: about 1 month ago
Topics: multimodal-deep-learning, multimodal-fusion, multimodal-sentiment-analysis
Files
Dependencies
- _libgcc_mutex 0.1
- attrs 19.3.0
- autopep8 1.4.4
- brotlipy 0.7.0
- ca-certificates 2020.10.14
- catalogue 0.0.8
- certifi 2020.6.20
- cffi 1.13.2
- chardet 3.0.4
- colorama 0.4.4
- cryptography 2.8
- cudatoolkit 10.1.243
- cymem 2.0.3
- freetype 2.10.0
- idna 2.8
- importlib_metadata 0.23
- intel-openmp 2019.4
- jpeg 9c
- libblas 3.8.0
- libcblas 3.8.0
- libedit 3.1.20181209
- libffi 3.2.1
- libgcc-ng 9.1.0
- libgfortran-ng 7.3.0
- liblapack 3.8.0
- libopenblas 0.3.7
- libpng 1.6.37
- libstdcxx-ng 9.1.0
- libtiff 4.1.0
- libwebp-base 1.1.0
- lz4-c 1.8.3
- mkl 2019.4
- more-itertools 7.2.0
- murmurhash 1.0.0
- ncurses 6.1
- ninja 1.9.0
- olefile 0.46
- openssl 1.1.1h
- pillow 6.2.1
- pip 19.3.1
- plac 0.9.6
- pycodestyle 2.5.0
- pycparser 2.19
- pyopenssl 19.0.0
- pysocks 1.7.1
- python 3.7.5
- python_abi 3.7
- readline 7.0
- requests 2.22.0
- setuptools 42.0.1
- six 1.13.0
- sqlite 3.30.1
- srsly 0.2.0
- tk 8.6.10
- torchvision 0.4.2
- wasabi 0.4.0
- wheel 0.33.6
- xz 5.2.4
- zipp 0.6.0
- zlib 1.2.11
- zstd 1.4.4