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colinsongf's Projects

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using pretrained BERT model

bert-dst icon bert-dst

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer

bert-n-pals icon bert-n-pals

Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (https://arxiv.org/abs/1902.02671)

bert_nli_logic icon bert_nli_logic

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

bert_tf icon bert_tf

Tensorflow 1.14 for Bert, Bert UniLM, ALBert

bertsum icon bertsum

Code for paper Fine-tune BERT for Extractive Summarization

bi-att-flow_machine-comprehension icon bi-att-flow_machine-comprehension

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

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