Active Example Selection for In-Context Learning (EMNLP'22)

Awesome-LLM: a curated list of Large Language Model

🦜🔗 The platform for reliable agents.

A guidance language for controlling large language models.

State-of-the-Art Text Embeddings

A pytorch implementation of BERT-based relation classification

PyTorch package for the discrete VAE used for DALL·E.

Keyphrase Generation for Scientific Document Retrieval

Keyphrase Generation

Simple examples to introduce PyTorch

Implementation of Enriching Pre-trained Language Model Entity Information for Relation Classification.

An Open-Source Framework for Prompt-Learning.

Code Samples from Neural Networks for NLP

NLP research experiments, built on PyTorch within the AllenNLP framework.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Beyond the Imitation Game collaborative benchmark for enormous language models

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

💫 Industrial-strength Natural Language Processing (NLP) in Python

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

A curated list of awesome data labeling tools

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Master the command line, in one page

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.