222 Open source projects that are alternatives of or similar to Scikit Fusion

Nimfa: Nonnegative matrix factorization in Python

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

📖Notes and remarks on Machine Learning related papers

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

Web based semantic visualization tool

Context-sensitive word embeddings with subwords. In Rust.

100+ Chinese Word Vectors 上百种预训练中文词向量

Jumping across biomedical contexts using compressive data fusion

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

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

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Data augmentation for NLP, presented at EMNLP 2019

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

Curated list of 2vec-type embedding models

🌊 FluRS: A Python library for streaming recommendation algorithms

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

MADS: Model Analysis & Decision Support

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

An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

A python library for self-supervised learning on images.

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

Exposure Matrix Factorization: modeling user exposure in recommendation

Implementation of triplet loss in TensorFlow

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Fast Clojure Matrix Library

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

fastFM: A Library for Factorization Machines

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

SuiteSparse: a suite of sparse matrix packages by T. A. Davis et al. (This repository contains copies of the official versions.)

An implementation of skip-thought vectors in Tensorflow

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Java-Based Context-aware Recommendation Library

Implementation of the node2vec algorithm.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Recurrence the recommender paper with Tensorflow2.0

Recommender System Using Parallel Matrix Factorization

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

finalfusion embeddings in Rust

Named Entity Recognition using multilayered bidirectional LSTM

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

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

Rare pupper image compression model for word-embedding-esque operations.

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

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

Repository for the word embeddings experiments described in "Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource", presented at LREC 2016.

Fast word vectors with little memory usage in Python

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

R wrapper for fastText

Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information