Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Statistical data visualization in Python

Geometric Computer Vision Library for Spatial AI

Fast, flexible and easy to use probabilistic modelling in Python.

A PyTorch Library for Meta-learning Research

This library provides common speech features for ASR including MFCCs and filterbank energies.

news-please - an integrated web crawler and information extractor for news that just works

A library for graph deep learning research

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

All-in-one text de-duplication

Tools for checking ACL paper submissions

A Neural Framework for MT Evaluation

A collection of GNN-based fake news detection models.

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

A project for training foundational Danish language model

COLING 2022: A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.

Code for "Generative causal explanations of black-box classifiers"

Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.

Python wrapper for the Politifact REST API

Sampling-Based Minimum Bayes-Risk Decoding for Neural Machine Translation

A Latent Morphology Model for Open-Vocabulary Neural Machine Translation

UFAL-Prague entry to the Sigmorphon 2019 Shared Task 2

Assignment for Fairness, Accountability, Confidentiality and Transparency in AI-University of Amsterdam

Lightning fast, lightweight, and reliable kernel density estimation for 1d and 2d samples