Niall Taylor (NtaylorOX)

NtaylorOX

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Company:University of Oxford

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Niall Taylor's repositories

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Att-BLSTM-relation-extraction

Implementation of Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

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auto_summ

Online demo of the paper "Unsupervised Document Summarization using pre-Trained Sentence Embeddings and Graph Centrality" published in the Second Scholarly Document Processing Workshop at NAACL-HLT 2021.

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awesome-text-summarization

A curated list of resources dedicated to text summarization

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beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

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BertSum

Code for paper Fine-tune BERT for Extractive Summarization

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dodrio-transformer-embedding-visualisation

Exploring attention weights in transformer-based models with linguistic knowledge.

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ecco-transformer-visualisation

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

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FARM

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

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GLM

GLM (General Language Model)

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guided_summarization

GSum: A General Framework for Guided Neural Abstractive Summarization

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LinkBERT

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

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ML-Collection-Pytorch-Tensorflow

original taken from: https://github.com/aladdinpersson/Machine-Learning-Collection

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nn_interpretability

Pytorch implementation of various neural network interpretability methods

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PegasusDemo

Abstractive text summarization with Google PEGASUS using HuggingFace Transformers

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Pytorch-VAE-tutorial

A simple tutorial of Variational AutoEncoders with Pytorch

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RATCHET

RAdiological Text Captioning for Human Examined Thoraxes

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sapbert

[NAACL & ACL 2021] SapBERT: Self-alignment pretraining for BERT & XL-BEL: Cross-Lingual Biomedical Entity Linking.

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simclr_pytorch

Implementation of SimCLR in PyTorch

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sktime

A unified framework for machine learning with time series

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SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING

in this project, I've implemented the Facebook paper about fine tuning RoBERTa with contrastive loss.

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t-few

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

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tsne-pytorch

Pytorch implementation for t-SNE with cuda to accelerate

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vectorizers_playground

Using the TIMC Document Vectorizers library

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