A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN
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Mar 13, 2021 - Python
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multimodality
Here are 43 public repositories matching this topic...
Sequence-to-Sequence Framework in PyTorch
deep-learning
cnn
pytorch
speech-recognition
seq2seq
neural-machine-translation
nmt
multimodality
asr
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Aug 25, 2020 - Jupyter Notebook
A knowledge base construction engine for richly formatted data
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Dec 23, 2020 - Python
Attention-based multimodal fusion for sentiment analysis
natural-language-processing
sentiment-analysis
tensorflow
lstm
attention
attention-mechanism
multimodality
dialogue-systems
sentiment-classification
conversational-agents
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Mar 8, 2019 - Python
This repository contains code and metadata of How2 dataset
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Jun 12, 2020 - Python
A deep learning framework for building multimodal multi-task learning systems.
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Mar 16, 2021 - Python
Fast regression and mediation analysis of vertex or voxel MRI data with TFCE
statistics
voxel
neuroscience
mri
neuroimaging
repeated-measures
mediation
mediation-analysis
multimodality
surface
anova
parallel-processing
cortical-surfaces
vertex
causal-models
tfce-mediation
regressor
tfce
surface-area
longitudinal
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Jul 15, 2020 - Python
TCyb17: Graph learning for multiview clustering
clustering
unsupervised-learning
multimodality
multiview-learning
multiview-clustering
multiple-features
multimodal
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Oct 14, 2018 - MATLAB
Behavioral data analysis and plotting in Python.
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Jun 27, 2020 - Python
sbhonde1
commented
Aug 11, 2020
I'd appreciate if someone trains this model using VIVA hand gestures dataset, EgoGesture Dataset, NVGesture dataset and submit the results. I'd be happy to pull.
Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
deep-learning
regression
neural-networks
cancer-genomics
classification
multimodality
tcga-data
survival-prediction
multimodal-autoencoder
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Aug 13, 2019 - Python
Mode normalization (in PyTorch).
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Feb 27, 2019 - Python
KERAS: Multimodal Deep Learning for Semantic Segmentation (RGB, NIR Streams) - multiple architectures
python
machine-learning
deep-neural-networks
deep-learning
keras
artificial-intelligence
deeplearning
multimodality
semantic-segmentation
keras-tensorflow
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Jun 19, 2017 - Python
Multimodal Deep Q-Network (MDQN) for modelling human-like social intelligence.
activity-recognition
deep-reinforcement-learning
perception
convolutional-neural-networks
human-robot-interaction
multimodality
activity-understanding
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Feb 23, 2017 - Lua
medical-imaging
usability
user-interface
user-experience
human-computer-interaction
multimodality
diagnosis
user-centered-design
cancer-research
radiomics
breast-cancer
health-informatics
computer-aided-detection
computer-aided-diagnosis
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Jan 28, 2021
multimodal social media content (text, image) classification
social-media
text-classification
image-processing
image-classification
multimodality
keras-tensorflow
disaster-response
cnn-classification
multimodal-deep-learning
crisis-informatics
tweet-classification
crisis-computing
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Jul 17, 2020 - Python
Multimodal Fully Convolutional Neural networks for Semantic Segmentation.
deep-neural-networks
deep-learning
keras
fcn
convolutional-neural-networks
multimodality
semantic-segmentation
augmentation
multimodal-learning
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Nov 22, 2020 - Python
Re-implementation of CVPR paper VectorNet
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Updated
Jun 28, 2020 - Jupyter Notebook
Collects a multimodal dataset of Wikipedia articles and their images
database
wikipedia
wikipedia-api
wikipedia-bot
data-collection
wikipedia-page
wikipedia-viewer
data-processing
multimodality
wikipedia-dump
data-cleaning
wikipedia-search
wikipedia-corpus
wikipedia-scraper
wikipedia-entries
multimodal-learning
multimodal
multimodal-datasets
multimodal-data
multimodal-representation
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Mar 19, 2021 - Python
Codes for ACL2018 Multimodal Language Workshop paper
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May 24, 2018 - Python
A Multi-modal Framework for Sentimental Analysis of Meme
nlp
natural-language-processing
image
reddit
computer-vision
tensorflow
text
cv
praw
multimodality
vgg19
bert
multimodal-deep-learning
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Jan 29, 2021 - Python
A repository for the AI2D-RST corpus.
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Mar 19, 2021 - Python
Machine learning- based solution to the problem of duplicity in the bug reports repository.
clustering
eclipse
detection
feature-extraction
pca
classification
topic-modeling
bag-of-words
cosine-similarity
data-preprocessing
lda
word2vec-model
bug-tracking-system
multimodality
glove-embeddings
euclidean-distances
top-n-recommendations
fasttext-embeddings
duplicate-reports
duplicate-bug-report
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Jan 4, 2021 - Jupyter Notebook
[IN PROGRESS] Multimodal feature extraction modules for ease of doing research and reproducibility.
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Sep 19, 2018 - Python
A trajectories dataset with associated occupancy maps
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Jul 28, 2020
Analysing Adversarial Loss of Social GAN
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Feb 27, 2020 - Python
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The task is to implement functions for extended fedot experiments importing and exporting.
A typical fedot use-case sounds like the following: