🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
A crowdsourced dataset of dialogues grounded in social contexts involving utilization of commonsense.
DSTC10 Track 2 - Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations
🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas
Repository for the EMNLP 2020 (Findings) paper titled "Learning to Plan and Realize Separately for Open-Ended Dialogue Systems"
Library for Knowledge Intensive Language Tasks
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Few-shot Natural Language Generation for Task-Oriented Dialog
Encoder-Agnostic Adaptation for Conditional Language Generation
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
💥Fast State-of-the-Art Tokenizers optimized for Research and Production
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Data and software for building the ACL Anthology.
Open Source Neural Machine Translation in PyTorch
A Code-First Introduction to NLP course
The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"
Tensors and Dynamic neural networks in Python with strong GPU acceleration