greitzmann

@greitzmann

greitzmann 暂无简介

Python
Java
C++
所有 个人的 我参与的
Forks 暂停/关闭的

    greitzmann/aNMM-CIKM16

    Implementation of Attention-Based Neural Matching Model Proposed in CIKM16 for Answer Sentence Selection

    greitzmann/esim-response-selection

    ESIM for Multi-turn Response Selection Task

    greitzmann/CNLI

    Baseline for the CNLI corpus

    greitzmann/multiNLI

    greitzmann/ESIM

    Implementation of the ESIM model for natural language inference with PyTorch

    greitzmann/Question_pair

    Machine Learning project

    greitzmann/DRMM_repro

    Implementation of a "Deep Relevance Matching Model" (DRMM) for Ad-hoc Retrieval

    greitzmann/neural-ranking-drmm

    Implementation and Evaluation of "A Deep Relevance Matching Model for Ad-hoc Retrieval"

    greitzmann/ABCNN-1

    Implementation of Attention-Based CNN model of Yin et al.

    greitzmann/semantic-matching

    semantic matching, text matching models

    greitzmann/ABCNN

    Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

    greitzmann/BIMPM-pytorch

    Re-implementation of BIMPM (Bilateral Multi-Perspective Matching for Natural Language Sentences, Zhiguo Wang et al.) on Pytorch.

    greitzmann/Keras-CNN-QA

    Keras (re)implementation of paper "Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR, 2015"

    greitzmann/CDSSM-1

    Convolutional Deep Semantic Similarity Model

    greitzmann/CDSSM

    A PyTorch implementation of CDSSM for intent classification

    greitzmann/deep_text_matching

    implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, albert, raberta

    greitzmann/ltr-dnn

    LTR DNN in tensorflow, an improvement of DSSM

    greitzmann/keras_bert_classification

    Bert-classification and bert-dssm implementation with keras.

    greitzmann/dssm

    A BiGRU-Attention DSSM implementation with tensorflow estimator.

    greitzmann/text_matching-1

    常用文本匹配模型tf版本,数据集为QA_corpus,持续更新中

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