6155 Open source projects that are alternatives of or similar to Hierarchical Attention Network

Service Classification based on Service Description

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.

Log Anomaly Detection - Machine learning to detect abnormal events logs

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

Multiple implementations for abstractive text summurization , using google colab

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

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

Exploring the simple sentence similarity measurements using word embeddings

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Inspired by word2vec-pride-vis the replacement of words of Russian most valuable novels text with closest word2vec model words. By Boris Orekhov

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

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

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Some research experiments

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Predict Cryptocurrency Price with Deep Learning

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

finalfusion embeddings in Rust

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

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

A fast, efficient universal vector embedding utility package.

All about Neural Networks!

百度云魅族深度学习应用大赛

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

Using pre trained word embeddings (Fasttext, Word2Vec)

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

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

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

Oxford Deep NLP 2017 course - Practical 1: word2vec

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Remove problematic gender bias from word embeddings.

Compact high quality word embeddings for Russian language

Sarcasm Detection for Sentiment Analysis

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

Fast word vectors with little memory usage in Python

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Keras tutorial for beginners (using TF backend)

Application of machine learning to the Coinbase (GDAX) orderbook

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。

Word Embedding + LSTM + FC

Implementation of "Texture Synthesis with Non-Parametric Sampling" paper by Alexei A. Efros and Thomas K. Leung

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

[Prototype] Tools for the concurrent manipulation of variably sized Tensors.

Curso Introdutório de Análise de Dados Públicos

Built for //BUILD 2017; this repo contains 15 minutes code challenges across data platform and analytics. Inclusive of; SQL Server on Linux, Azure SQL Database, Azure DocumentDB, Azure Search, HDInsight, MySQL as a Service, PostgreSQL as a Service, Bot Framework, Python Tools for Visual Studio, R Tools for Visual Studio. Get challenged, learn new stuff, fork the repo, contribute to the repo, and get a sneak peak the exciting world of Microsoft products and services.

龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本

Repo for the data science salary prediction of the Data Science Project From Scratch video on my youtube

Corrupted labels and label smoothing

Code for creating a dataset of MIDI ground truth

A scraper for the data made available by the Italian Senate, and a cluster analysis to detect similar amendments.

YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, we will apply the YOLO algorithm to detect objects in images.

A Dutch RoBERTa-based language model