Pinned Repositories
hnmt
Helsinki Neural Machine Translation system
InferSent
Sentence embeddings (InferSent) and training code for NLI.
lxmls-toolkit
Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
nli-with-transformers
Fine-tune transformers with NLI data
Notebooks
Jupyter notebooks exploring different NLP/ML use cases and tasks
transformers-sequence-classification-gcp
Training sequence classification transformer model on GCP AI Platform
HBMP
Sentence Embeddings in NLI with Iterative Refinement Encoders
nli-data-sanity-check
Data and scripts for a diagnostics test suite which allows to assess whether an NLU dataset constitutes a good testbed for evaluating the models' meaning understanding capabilities.
nlu-dataset-diagnostics
This repository contains data and scripts to reproduce the results from our paper: How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets.
prosody
Helsinki Prosody Corpus and A System for Predicting Prosodic Prominence from Text
aarnetalman's Repositories
aarnetalman/transformers-sequence-classification-gcp
Training sequence classification transformer model on GCP AI Platform
aarnetalman/lxmls-toolkit
Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
aarnetalman/hnmt
Helsinki Neural Machine Translation system
aarnetalman/InferSent
Sentence embeddings (InferSent) and training code for NLI.
aarnetalman/nli-with-transformers
Fine-tune transformers with NLI data
aarnetalman/Notebooks
Jupyter notebooks exploring different NLP/ML use cases and tasks
aarnetalman/lxmls-guide
Lisbon Machine Learning Summer School Lab Guide
aarnetalman/marian
Fast Neural Machine Translation in C++
aarnetalman/prosody
Helsinki Prosody Corpus and System for Predicting Prosodic Prominence from Text
aarnetalman/runlogger
Simple command line run logger
aarnetalman/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
aarnetalman/xnli-with-transformers