6165 Open source projects that are alternatives of or similar to Debiaswe

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

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

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.

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Arabic Word Embeddings Word2vec

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

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

A collection of notebooks for Natural Language Processing from NLP Town

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

A word2vec port for Windows.

Generating multiple choice questions from text using Machine Learning.

Benchmarks for intrinsic word embeddings evaluation.

Exploring the simple sentence similarity measurements using word embeddings

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Multiple implementations for abstractive text summurization , using google colab

Train Wikidata with word2vec for word embedding tasks

All about Neural Networks!

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

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

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.

Some research experiments

dna2vec: Consistent vector representations of variable-length k-mers

Oxford Deep NLP 2017 course - Practical 1: word2vec

Beautiful visualizations of how language differs among document types.

FastText for Node.js

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.

A word2vec negative sampling implementation with correct CBOW update.

A pipeline for training word embeddings using word2vec on wikipedia corpus.

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Codenames AI using Word Vectors

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

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

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

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Service Classification based on Service Description

An algorithm to augment syntactic hierarchy into word embeddings

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

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Topic Modelling for Humans

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

A fast, efficient universal vector embedding utility package.

Implementation of Hierarchical Attention Networks in PyTorch

Python Framework for Extractive Text Summarization

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.

utils to use word embedding like word2vec vectors in a postgres database

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

Log Anomaly Detection - Machine learning to detect abnormal events logs

PyTorch implementation of Soft Actor-Critic (SAC)

In The Wild 3D Morphable Models