Entity EmbeddingReference implementation of the paper "Word Embeddings for Entity-annotated Texts"
Stars: ✭ 19 (-45.71%)
VarCLRVarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Stars: ✭ 30 (-14.29%)
image embeddingsUsing efficientnet to provide embeddings for retrieval
Stars: ✭ 107 (+205.71%)
muse-as-serviceREST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
Stars: ✭ 45 (+28.57%)
stripnetSTriP Net: Semantic Similarity of Scientific Papers (S3P) Network
Stars: ✭ 82 (+134.29%)
Hash EmbeddingsPyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
Stars: ✭ 126 (+260%)
data-science-popular-algorithmsData Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
Stars: ✭ 65 (+85.71%)
auto-gfqgAutomatic Gap-Fill Question Generation
Stars: ✭ 17 (-51.43%)
stmprinterPrint multiple stm model dashboards to a pdf file for inspection
Stars: ✭ 34 (-2.86%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-42.86%)
converseConversational text Analysis using various NLP techniques
Stars: ✭ 147 (+320%)
LaserembeddingsLASER multilingual sentence embeddings as a pip package
Stars: ✭ 125 (+257.14%)
meemiImproving cross-lingual word embeddings by meeting in the middle
Stars: ✭ 20 (-42.86%)
Dna2vecdna2vec: Consistent vector representations of variable-length k-mers
Stars: ✭ 117 (+234.29%)
simple elmoSimple library to work with pre-trained ELMo models in TensorFlow
Stars: ✭ 49 (+40%)
contextualLSTMContextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
Stars: ✭ 28 (-20%)
Catalyst🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Stars: ✭ 224 (+540%)
twicTopic Words in Context (TWiC) is a highly-interactive, browser-based visualization for MALLET topic models
Stars: ✭ 51 (+45.71%)
DeepehrChronic Disease Prediction Using Medical Notes
Stars: ✭ 220 (+528.57%)
go-topicsLatent Dirichlet Allocation
Stars: ✭ 23 (-34.29%)
Magnetloss PytorchPyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
Stars: ✭ 217 (+520%)
navecCompact high quality word embeddings for Russian language
Stars: ✭ 118 (+237.14%)
SensegramMaking sense embedding out of word embeddings using graph-based word sense induction
Stars: ✭ 209 (+497.14%)
ar-embeddingsSentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec
Stars: ✭ 83 (+137.14%)
ParallaxTool for interactive embeddings visualization
Stars: ✭ 192 (+448.57%)
CaREEMNLP 2019: CaRe: Open Knowledge Graph Embeddings
Stars: ✭ 34 (-2.86%)
Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Stars: ✭ 184 (+425.71%)
codesnippetsearchNeural bag of words code search implementation using PyTorch and data from the CodeSearchNet project.
Stars: ✭ 67 (+91.43%)
Cx db8a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Stars: ✭ 164 (+368.57%)
Ask2TransformersA Framework for Textual Entailment based Zero Shot text classification
Stars: ✭ 102 (+191.43%)
Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
Stars: ✭ 159 (+354.29%)
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.
Stars: ✭ 58 (+65.71%)
Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Stars: ✭ 151 (+331.43%)
bnpBayesian nonparametric models for python
Stars: ✭ 17 (-51.43%)
Keras Vgg16 Places365Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
Stars: ✭ 138 (+294.29%)
JoSH[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Stars: ✭ 55 (+57.14%)
Chars2vecCharacter-based word embeddings model based on RNN for handling real world texts
Stars: ✭ 130 (+271.43%)
teanaps자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
Stars: ✭ 91 (+160%)
word2vec-tsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
Stars: ✭ 59 (+68.57%)
ClusterTransformerTopic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.
Stars: ✭ 36 (+2.86%)
SytoraA sophisticated smart symptom search engine
Stars: ✭ 111 (+217.14%)
Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
Stars: ✭ 1,486 (+4145.71%)
Diff2vecReference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Stars: ✭ 108 (+208.57%)
BTMBiterm Topic Modelling for Short Text with R
Stars: ✭ 78 (+122.86%)
SubGNNSubgraph Neural Networks (NeurIPS 2020)
Stars: ✭ 136 (+288.57%)
MagnitudeA fast, efficient universal vector embedding utility package.
Stars: ✭ 1,394 (+3882.86%)
Scikit Fusionscikit-fusion: Data fusion via collective latent factor models
Stars: ✭ 103 (+194.29%)
FastrtextR wrapper for fastText
Stars: ✭ 103 (+194.29%)
deep-scite🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
Stars: ✭ 20 (-42.86%)
info-retrievalInformation Retrieval in High Dimensional Data (class deliverables)
Stars: ✭ 33 (-5.71%)
PersianNERNamed-Entity Recognition in Persian Language
Stars: ✭ 48 (+37.14%)
Hdc.caffeComplete Code for "Hard-Aware-Deeply-Cascaded-Embedding"
Stars: ✭ 98 (+180%)