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Andreas Hug's Projects

attract-repel icon attract-repel

The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.

dahuffman icon dahuffman

Python Module for Huffman Encoding and Decoding

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

jupyterlab icon jupyterlab

Demonstrating how to get JupyterLab working with Binder

poincare-embeddings icon poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

pytorch-openai-transformer-lm icon pytorch-openai-transformer-lm

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-qrnn icon pytorch-qrnn

PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

senteval icon senteval

A python tool for evaluating the quality of sentence embeddings.

setgpu icon setgpu

Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.

unsupervisedhypernymy icon unsupervisedhypernymy

Data and code for the experiments in: "Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection". Vered Shwartz, Enrico Santus and Dominik Schlechtweg. EACL 2017.

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