codesnippetsearchNeural bag of words code search implementation using PyTorch and data from the CodeSearchNet project.
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ruimteholR package to Embed All the Things! using StarSpace
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dparNeural network transition-based dependency parser (in Rust)
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SpeedtorchLibrary for faster pinned CPU <-> GPU transfer in Pytorch
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embeddinghubA vector database for machine learning embeddings.
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TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
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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.
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CaREEMNLP 2019: CaRe: Open Knowledge Graph Embeddings
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meemiImproving cross-lingual word embeddings by meeting in the middle
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NatashaSolves basic Russian NLP tasks, API for lower level Natasha projects
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SubGNNSubgraph Neural Networks (NeurIPS 2020)
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CODERCODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]
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CleoraCleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
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Entity EmbeddingReference implementation of the paper "Word Embeddings for Entity-annotated Texts"
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IR2VecImplementation of IR2Vec, published in ACM TACO
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event-embedding-multitask*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
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Ner LstmNamed Entity Recognition using multilayered bidirectional LSTM
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PyEmbeograph embeddings for neo4j in python
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SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
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geometric embedding"Zero-Training Sentence Embedding via Orthogonal Basis" paper implementation
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PolyfuzzFuzzy string matching, grouping, and evaluation.
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img2vec-kerasImage to dense vector embedding. Clone of https://github.com/christiansafka/img2vec for Keras users
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whatliesToolkit to help understand "what lies" in word embeddings. Also benchmarking!
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WhatliesToolkit to help understand "what lies" in word embeddings. Also benchmarking!
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Cw2veccw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
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Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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KprnReasoning Over Knowledge Graph Paths for Recommendation
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HubA library for transfer learning by reusing parts of TensorFlow models.
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CauseCode for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
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LightlyA python library for self-supervised learning on images.
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Research2vecRepresenting research papers as vectors / latent representations.
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Vec4irWord Embeddings for Information Retrieval
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JodieA PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
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nccNeural Code Comprehension: A Learnable Representation of Code Semantics
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CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
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Wikipedia2vecA tool for learning vector representations of words and entities from Wikipedia
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Pytorch NlpBasic Utilities for PyTorch Natural Language Processing (NLP)
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muse-as-serviceREST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
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ElastiknnElasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
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cadeCompass-aligned Distributional Embeddings. Align embeddings from different corpora
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Graph2gaussGaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
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LSCDetectionData Sets and Models for Evaluation of Lexical Semantic Change Detection
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Hash EmbeddingsPyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
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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.
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deep-scite🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
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Eda nlpData augmentation for NLP, presented at EMNLP 2019
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Node2vecImplementation of the node2vec algorithm.
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Lmdb EmbeddingsFast word vectors with little memory usage in Python
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