479 Open source projects that are alternatives of or similar to DeepLearningReading

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

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graph embeddings for neo4j in python

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[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

A curated list of awesome embedding models tutorials, projects and communities.

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Collection of custom layers and utility functions for Keras which are missing in the main framework.

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cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

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An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

Reasoning Over Knowledge Graph Paths for Recommendation

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Automated NLP sentiment predictions- batteries included, or use your own data

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

Implementation of triplet loss in TensorFlow

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

Data augmentation for NLP, presented at EMNLP 2019

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Curated list of 2vec-type embedding models

This is a further development of the kdnuggets article on fake news classification by George McIntyre

Implementation of the node2vec algorithm.

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Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

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Userscript that changes Clickbait headlines by headlines more honest to the news it links to.

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Fast word vectors with little memory usage in Python

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A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Fuzzy string matching, grouping, and evaluation.

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The Entire Transcript from the Office in Tidy Format