Named Entity Recognition (LSTM + CRF) - Tensorflow

A fast, efficient universal vector embedding utility package.

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Four word embedding models implemented in Python. Supporting arbitrary context features

Text classification using deep learning models in Pytorch

Fast word vectors with little memory usage in Python

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Word Embeddings (e.g. Word2Vec) in Go!

This repository contains a new generative model of chatbot based on seq2seq modeling.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Using pre trained word embeddings (Fasttext, Word2Vec)

Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Implementation of Hierarchical Attention Networks in PyTorch

Word Embedding + LSTM + FC

Source code for the paper A Memory-Augmented Neural Model for Automated Grading

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Effective Dimensionality Reduction for Word Embeddings.

Exploring the simple sentence similarity measurements using word embeddings

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Compact high quality word embeddings for Russian language

GloVe word vector embedding experiments (similar to Word2Vec)

Indra is a Web Service which allows easy access to different distributional semantics models in several languages.

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

Implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset (without pre-training)

finalfusion embeddings in Rust