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arl

[ACMMM-2022] This is the official implementation of Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge.

arxiv-text-generation-papers

A curated list of text generation papers in arXiv.

awesome

awesome-attack-and-defense-in-nlp

A curated list of attack and defense in NLP. :-)

awesome-causality-in-nlp

A curated list of causality in NLP. :-)

awesome-contrastive-learning-in-nlp

A curated list of contrastive learning in NLP. :-)

awesome-disentanglement-in-nlp

A curated list of disentanglement in NLP. :-)

awesome-few-shot-learning-in-nlp

A curated list of few-shot learning in NLP. :-)

awesome-image-captioning

A curated list of image captioning and related area resources. :-)

awesome-interesting-topics-in-nlp

A curated list of interesting topics in NLP. :-)

awesome-medical-nlp

A curated list of medical NLP. :-)

awesome-multi-task-learning-in-nlp

A curated list of multi-task learning in NLP. :-)

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-nlp-surveys

A curated list of surveys in NLP. :-)

awesome-noisy-channel-model

A curated list of noisy channel model and related areas. :-)

awesome-radiology-report-generation

A curated list of radiology report generation (medical report generation) and related areas. :-)

awesome-reinforcement-learning-in-nlp

A curated list of reinforcement learning in NLP. :-)

awesome-vision-and-language-pretraining

A curated list of vision-and-language pre-training (VLP). :-)

awesome-zero-shot-learning-in-nlp

A curated list of zero-shot learning in NLP. :-)

bert-clip-synesthesia

[Findings of ACL-2023] This is the official implementation of On the Difference of BERT-style and CLIP-style Text Encoders.

circleloss.pytorch

Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

glip

Grounded Language-Image Pre-training

hello-nlp

I'm learning nlp~

m3ae

[MICCAI-2022] This is the official implementation of Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training.

mae.pytorch

Simple and clean implementation of MAE (Masked Autoencoders Are Scalable Vision Learners) using Huggingface Transformers.

ptunifier

[ICCV-2023] Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

r2gen

[EMNLP-2020] The official implementation of Generating Radiology Reports via Memory-driven Transformer.

r2gencmn

[ACL-2021] The official implementation of Cross-modal Memory Networks for Radiology Report Generation.