Wikipedia2vecA tool for learning vector representations of words and entities from Wikipedia
Node2vecImplementation of the node2vec algorithm.
SpeedtorchLibrary for faster pinned CPU <-> GPU transfer in Pytorch
Ner LstmNamed Entity Recognition using multilayered bidirectional LSTM
Awesome Persian Nlp IrCurated List of Persian Natural Language Processing and Information Retrieval Tools and Resources
LightlyA python library for self-supervised learning on images.
NimfaNimfa: Nonnegative matrix factorization in Python
Multi Class Text Classification CnnClassify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Nlp CubeNatural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
Contextualized Topic ModelsA python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.
VectorhubVector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
CleoraCleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
PolyfuzzFuzzy string matching, grouping, and evaluation.
DecagonGraph convolutional neural network for multirelational link prediction
HubA library for transfer learning by reusing parts of TensorFlow models.
HetuA high-performance distributed deep learning system targeting large-scale and automated distributed training.
go2vecRead and use word2vec vectors in Go
cadeCompass-aligned Distributional Embeddings. Align embeddings from different corpora
game2vecTensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.
watset-javaAn implementation of the Watset clustering algorithm in Java.
entity-embedPyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
ruimteholR package to Embed All the Things! using StarSpace
text2textText2Text: Cross-lingual natural language processing and generation toolkit
embeddinghubA vector database for machine learning embeddings.
reachLoad embeddings and featurize your sentences.
CODERCODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]
relation-networkTensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
IR2VecImplementation of IR2Vec, published in ACM TACO
whatliesToolkit to help understand "what lies" in word embeddings. Also benchmarking!
code-compassa contextual search engine for software packages built on import2vec embeddings (https://www.code-compass.com)
Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
KGE-LDAKnowledge Graph Embedding LDA. AAAI 2017
lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
nccNeural Code Comprehension: A Learnable Representation of Code Semantics
word2vec-tsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
muse-as-serviceREST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
LSCDetectionData Sets and Models for Evaluation of Lexical Semantic Change Detection
entity-networkTensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
deep-scite🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
towheeTowhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
VarCLRVarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models