149 Open source projects that are alternatives of or similar to whatlies

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

🚀 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.

Intelligent Word Embeddings of Free-Text Radiology Reports

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

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Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec

Improving cross-lingual word embeddings by meeting in the middle

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VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

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Evaluate your word embeddings

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Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

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*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

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graph embeddings for neo4j in python

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

"Zero-Training Sentence Embedding via Orthogonal Basis" paper implementation

Neural bag of words code search implementation using PyTorch and data from the CodeSearchNet project.

Image to dense vector embedding. Clone of https://github.com/christiansafka/img2vec for Keras users

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

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Reasoning Over Knowledge Graph Paths for Recommendation

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Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

📖Notes and remarks on Machine Learning related papers

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This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

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🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

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Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

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