Pinned Repositories
amld-pytorch-workshop
Introduction to PyTorch Workshop at the AMLD 2019
attract-repel
The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.
azure.datafactory.tools
Tools for deploying Data Factory (v2) in Microsoft Azure
bookcorpus
Crawl BookCorpus
dahuffman
Python Module for Huffman Encoding and Decoding
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
hyperbolics
Hyperbolic Embeddings
HypEval
jupyterlab
Demonstrating how to get JupyterLab working with Binder
msft-extensions
Repository for extensions mainly used for Azure DevOps Extensions
ahug's Repositories
ahug/amld-pytorch-workshop
Introduction to PyTorch Workshop at the AMLD 2019
ahug/HypEval
ahug/attract-repel
The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.
ahug/azure.datafactory.tools
Tools for deploying Data Factory (v2) in Microsoft Azure
ahug/bookcorpus
Crawl BookCorpus
ahug/dahuffman
Python Module for Huffman Encoding and Decoding
ahug/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
ahug/hyperbolics
Hyperbolic Embeddings
ahug/jupyterlab
Demonstrating how to get JupyterLab working with Binder
ahug/msft-extensions
Repository for extensions mainly used for Azure DevOps Extensions
ahug/poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
ahug/python-fitparse
Python library to parse ANT/Garmin .FIT files
ahug/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
ahug/pytorch-qrnn
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
ahug/SentEval
A python tool for evaluating the quality of sentence embeddings.
ahug/setGPU
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
ahug/structured-attention
textual entailment with structural attentions and composition
ahug/transformer-xl
ahug/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.
ahug/word2gauss
Gaussian word embeddings
ahug/zwift-mobile-api