222 Open source projects that are alternatives of or similar to Nimfa

📖Notes and remarks on Machine Learning related papers

scikit-fusion: Data fusion via collective latent factor models

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Text Classification in Turkish Texts with Bert

Load embeddings and featurize your sentences.

pytorch version of neural collaborative filtering

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

Implementation of IR2Vec, published in ACM TACO

Read and use word2vec vectors in Go

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

Knowledge Graph Embedding LDA. AAAI 2017

Text2Text: Cross-lingual natural language processing and generation toolkit

Graph convolutional neural network for multirelational link prediction

No description or website provided.

SMORe: Modularize Graph Embedding for Recommendation

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.

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

Embedded UIScrollView for iOS.

A Python implementation of LightFM, a hybrid recommendation algorithm.

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

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

Fuzzy string matching, grouping, and evaluation.

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

a recommender engine node-js package for general use and easy to integrate.

JavaScript embedder for Wolfram Cloud notebooks

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

R package to Embed All the Things! using StarSpace

LibRec: A Leading Java Library for Recommender Systems, see

A vector database for machine learning embeddings.

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)

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

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

Compute Sentence Embeddings Fast!

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

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

This is a new deep learning model for recommender system, which we called PHD

A Comparative Framework for Multimodal Recommender Systems

content discovery... IN 3D

Concatenate word and character embeddings in Keras

Sentiment Analysis: Deep Bi-LSTM+attention model

Fast word vectors with little memory usage in Python

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

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

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

Recommender Systems Paperlist that I am interested in

Network Embedding Survey and Resources

An implementation of the Watset clustering algorithm in Java.

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

(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

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

Neural Code Comprehension: A Learnable Representation of Code Semantics

Scala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

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

recommendation system with python

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Face Recognition using the FaceNet model and MLKit on Android.

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

Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net

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.