Thomas Niebler's repositories
attract-repel
The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.
CNC_Machining
data set for process monitoring on CNC machines
django-strava-auth
Library for Strava API Authentication
flask-appfactory-example
An example of a customizable app factory for flask, depending on environment variables
hyptrails.github.io
The Official HypTrails Resource
iclr2016
Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least as discriminative as skip-thought vectors for semantic similarity tasks at a minimum. Moreover, this code can achieve state-of-the-art results on entailment and sentiment tasks.
metric-learn
Metric learning algorithms in Python
numpy_autoencoder
an object-oriented raw NumPy autoencoder implementation based on the Kaggle notebook referenced below.
paragram-word
Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-999.This code was used to obtain results in the appendix of our 2015 TACL paper "From Paraphrase Database to Compositional Paraphrase Model and Back".
poincare-embedding
Poincaré Embedding
retrofitting
Retrofitting Word Vectors to Semantic Lexicons
thomasniebler.github.io
Hub page for my repositories