767 Open source projects that are alternatives of or similar to word-benchmarks

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

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

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

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

A fast, efficient universal vector embedding utility package.

🤘 awesome-semantic-segmentation

Train Wikidata with word2vec for word embedding tasks

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

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.

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

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

"NAS evaluation is frustratingly hard", ICLR2020

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

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

A word2vec port for Windows.

Discourse Based Evaluation of Language Understanding

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

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

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

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

Python Framework for Extractive Text Summarization

Remove problematic gender bias from word embeddings.

Beautiful visualizations of how language differs among document types.

Python package for the evaluation of odometry and SLAM

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

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

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

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

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.

Codenames AI using Word Vectors

FastText for Node.js

Topic Modelling for Humans

中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Exploring the simple sentence similarity measurements using word embeddings

Arabic Word Embeddings Word2vec

Word Embeddings for Information Retrieval

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

A word2vec negative sampling implementation with correct CBOW update.

Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

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

Command-line DNS benchmark

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

⚡ A collection of common functions but with better performance, less allocations and less dependencies created for Fiber.

Named-Entity Recognition in Persian Language

TextAugment: Text Augmentation Library

🚥 S&P of Blockchains

Evaluate results from ASR/Speech-to-Text quickly

Visualize large text collections with WebGL

Extensible stream pipelines with object algebras.

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

A tool based on the HTML5 Web Audio API to perform perceptual audio evaluation tests locally or on remote machines over the web.

Benchmarking web frameworks written in rust with rewrk tool.

Record "perf" performance metrics for individual functions/regions of an ELF binary.

Code for Supervised Word Mover's Distance (SWMD)

Fact Extraction and VERification baseline published in NAACL2018

code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017

Evaluate your word embeddings

Word2Vec encodings based search engine for Stackoverflow questions

Benchmarks across Deep Learning Frameworks in Julia and Python

Measuring the performance of popular streaming engines with Yahoo's Streaming Benchmark