148 Open source projects that are alternatives of or similar to Tensorflow Triplet Loss

CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]

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

A library for transfer learning by reusing parts of TensorFlow models.

A vector database for machine learning embeddings.

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

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Sentiment Analysis: Deep Bi-LSTM+attention model

A python library for self-supervised learning on images.

📖Notes and remarks on Machine Learning related papers

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

R package to Embed All the Things! using StarSpace

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

A 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.

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

Named Entity Recognition using multilayered bidirectional LSTM

Implementation of IR2Vec, published in ACM TACO

Fuzzy string matching, grouping, and evaluation.

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

A tool for learning vector representations of words and entities from Wikipedia

Network Embedding Survey and Resources

Concatenate word and character embeddings in Keras

Neural Code Comprehension: A Learnable Representation of Code Semantics

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Data Sets and Models for Evaluation of Lexical Semantic Change Detection

An implementation of the Watset clustering algorithm in Java.

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

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

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

Text2Text: Cross-lingual natural language processing and generation toolkit

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Load embeddings and featurize your sentences.

Vector 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)

Text Classification in Turkish Texts with Bert

Curated list of 2vec-type embedding models

Tensorflow 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.

Recommender Systems Paperlist that I am interested in

Embedded UIScrollView for iOS.

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

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

Graph convolutional neural network for multirelational link prediction

a contextual search engine for software packages built on import2vec embeddings (https://www.code-compass.com)

Data augmentation for NLP, presented at EMNLP 2019

Knowledge Graph Embedding LDA. AAAI 2017

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

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

Nimfa: Nonnegative matrix factorization in Python

JavaScript embedder for Wolfram Cloud notebooks

Read and use word2vec vectors in Go

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

Implementation of the node2vec algorithm.

(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

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

Fast word vectors with little memory usage in Python

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

🍊 🎑 Orange3 add-on for dealing with image related tasks

Solves basic Russian NLP tasks, API for lower level Natasha projects

Library for faster pinned CPU <-> GPU transfer in Pytorch

Compute Sentence Embeddings Fast!

Face Recognition using the FaceNet model and MLKit on Android.