Code for paper "Quotation Recommendation and InterpretationBased on Transformation from Queries to Quotations"

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)

A framework for creating a Bash CLI application.

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

💬 Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue. In ICLR, 2020 (spotlight)

Paper List for Style Transfer in Text

🤗 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.

Code for Biterm Topic Model (published in WWW 2013)

🦉 Data Versioning and ML Experiments

A collection of design patterns/idioms in Python

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open Source Neural Machine Translation and (Large) Language Models in PyTorch