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Transformer: PyTorch Implementation of "Attention Is All You Need"
Code and documentation to train Stanford's Alpaca models, and generate the data.
Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
A PyTorch implementation of the Transformer model in "Attention is All You Need".
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
Implementation and experiments of graph embedding algorithms.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
This is a repo for NLP multi-task learning, which includes single-sentence classification, pairwise text similarity, pairwise text classification, and relevance ranking.
Multi-Task Deep Neural Networks for Natural Language Understanding
This is a repo for natural language inference using Match-LSTM and pre-trained BERT.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
PyTorch Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
🎓 Path to a free self-taught education in Computer Science!
A LaTeX Template for BUPT Bachelor Thesis (updated in 2018) 北京邮电大学学士学位论文LaTeX模板