jianzhengming's repositories

advanced-numpy-tutorial

Advanced-level tutorial for Numpy

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dataset-examples

Samples for users of the Yelp Academic Dataset

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finch

More than 50 machine learning models (and tests) based on TensorFlow / PyTorch

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GloVe

GloVe model for distributed word representation

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glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

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glove.py

Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes

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graph-parser

GraphParser is a semantic parser which can convert natural language sentences to logical forms and graphs.

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imdb-odsc

D3 workshop for ODSC using IMDB dataset

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irgan

IRGAN SIGIR paper experimental code

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lstm-char-cnn

LSTM language model with CNN over characters

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notes-python

中文 Python 笔记

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NTM-tensorflow

"Neural Turing Machine" in Tensorflow

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numpy-tutorial

Numpy beginner tutorial

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numpy_exercises

Numpy exercises.

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PVDM

:books: Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.

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recursive

Recursive Neural Network and its variations based on Tensorflow with Cuda accelerated.(Under-construction)

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RecursiveNN

Tensorflow implementation of Recursive Neural Networks using LSTM units

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struct-attn

Code for Structured Attention Networks https://arxiv.org/abs/1702.00887

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Syntax-awared-NMT

Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder

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tensorflow-doc2vec

Reproduce the paper Distributed Representations of Sentences and Documents in tensorflow

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textClassifier

Text classifier for Hierarchical Attention Networks for Document Classification

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topical_word_embeddings

A demo code for topical word embedding

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topics

Topic modeling with gensim and LDA

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wikiextractor

A tool for extracting plain text from Wikipedia dumps

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Wikipedia_Word2vec

Train Word2vec Model based on Wikipedia

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Word2VecExample

An example application using Word2Vec. Given a list of words, it finds the one which isn't 'like' the others - a typical language understanding evaluation task.

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