Pinned Repositories
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
bert
TensorFlow code and pre-trained models for BERT
BERT_multimodal_transformer
booksim2
BookSim 2.0
clinicalBERT
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
CMU-MOSI
Deep learning with CMU-MOSI multimodal dataset.
CMU-MultimodalSDK
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.
MTSA
Multimodal-Healthcare-Papers
stdoo's Repositories
stdoo/Multimodal-Healthcare-Papers
stdoo/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
stdoo/CMU-MOSI
Deep learning with CMU-MOSI multimodal dataset.
stdoo/MTSA
stdoo/bert
TensorFlow code and pre-trained models for BERT
stdoo/BERT_multimodal_transformer
stdoo/clinicalBERT
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
stdoo/CMU-MultimodalSDK
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.
stdoo/ColossalAI
Making large AI models cheaper, faster and more accessible
stdoo/doctorai
Repository for Doctor AI project
stdoo/examples
stdoo/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
stdoo/MCTN
stdoo/MELD
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
stdoo/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
stdoo/MIMIC_Extract
MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
stdoo/Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
stdoo/nlp_clip_pytorch
star_transformer pytorch
stdoo/nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
stdoo/pep8.org
PEP 8, for Humans.
stdoo/pics
pictures for markdown
stdoo/python-guide
Python best practices guidebook, written for humans.
stdoo/RAVEN
stdoo/RecAdam
Code for the RecAdam paper: Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting.
stdoo/Research
novel deep learning research works with PaddlePaddle
stdoo/RSE
Residual Shuffle-Exchange
stdoo/stdoo.github.io
stdoo/Structured-Self-Attention
A Structured Self-attentive Sentence Embedding
stdoo/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
stdoo/vision
Datasets, Transforms and Models specific to Computer Vision