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Deep Tutorials for PyTorch
This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.
image-captioning sequence-labeling object-detection text-classification
PyTorch Transformers Tutorials
A set of annotated Jupyter notebooks, that give user a template to fine-tune transformers model to downstream NLP tasks such as classification, NER etc.
transformers text-classification text-summarization named-entity-recognition
Transformers - Hugging Face
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
transformers huggingface attention bert
Insight
Project Insight is designed to create NLP as a service with code base for both front end GUI (streamlit) and backend server (FastAPI) the usage of ...
fastapi huggingface transformers pytorch
Learning to Summarize with Human Feedback
Human feedback models outperform much larger supervised models and reference summaries on TL;DR
text-summarization human-feedback feedback-loops openai
TeachEasy: Web app for Text Summarization & Q/A generation
An intuitive Streamlit based web app for Text Summarization and Question Answer generation so as to reduce the work for School teachers.
text-summarization question-generation question-answering paraphrase-identification
SciTLDR: Extreme Summarization of Scientific Documents
A new automatic summarization task with high source compression requiring expert background knowledge and complex language understanding.
text-summarization bart transformers natural-language-processing
Transfer Learning with T5: the Text-To-Text Transfer Transformer
In the paper, we demonstrate how to achieve state-of-the-art results on multiple NLP tasks using a text-to-text transformer pre-trained on a large text ...
transformers t5 question-answering reading-comprehension
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