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In Defense of the Unitary Scalarization for Deep Multi-Task Learning
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
NaturalProofs: Mathematical Theorem Proving in Natural Language (NeurIPS 2021 Datasets & Benchmarks)
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
A Pytorch-based Neural Machine Translation Framework for Research
This is a repository with the data and code for the ACL 2019 paper "When a Good Translation is Wrong in Context: ..." and the EMNLP 2019 paper "Context-Aware Monolingual Repair for Neural Machine T…
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Python code for training models in the ACL paper, "Beyond BLEU:Training Neural Machine Translation with Semantic Similarity".
LaNMT: Latent-variable Non-autoregressive Neural Machine Translation with Deterministic Inference
Neural Text Generation with Unlikelihood Training
Fast, general, and tested differentiable structured prediction in PyTorch
Unsupervised text tokenizer focused on computational efficiency
Supplementary materials and code for Multi-Turn Beam Search
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A Python toolbox for performing gradient-free optimization
Python package built to ease deep learning on graph, on top of existing DL frameworks.