All Projects → Daisyrec → Similar Projects or Alternatives

472 Open source projects that are alternatives of or similar to Daisyrec

pyroVED
Invariant representation learning from imaging and spectral data
Stars: ✭ 23 (-91.79%)
Mutual labels:  vae
Albedo
A recommender system for discovering GitHub repos, built with Apache Spark
Stars: ✭ 149 (-46.79%)
Mutual labels:  recommender-system
DiffuseVAE
A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents
Stars: ✭ 81 (-71.07%)
Mutual labels:  vae
keras-recommender
Recommender built using keras
Stars: ✭ 36 (-87.14%)
Mutual labels:  collaborative-filtering
Ncf
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
Stars: ✭ 149 (-46.79%)
Mutual labels:  recommender-system
VAE-Gumbel-Softmax
An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
Stars: ✭ 66 (-76.43%)
Mutual labels:  vae
enstop
Ensemble topic modelling with pLSA
Stars: ✭ 104 (-62.86%)
Mutual labels:  matrix-factorization
Rival
RiVal recommender system evaluation toolkit
Stars: ✭ 145 (-48.21%)
Mutual labels:  recommender-system
slim-php-di
Slim Framework PHP-DI container integration
Stars: ✭ 13 (-95.36%)
Mutual labels:  slim
Pytorch models
PyTorch study
Stars: ✭ 14 (-95%)
Mutual labels:  vae
Movielens
4 different recommendation engines for the MovieLens dataset.
Stars: ✭ 265 (-5.36%)
Mutual labels:  collaborative-filtering
Ad Papers
Papers on Computational Advertising
Stars: ✭ 3,515 (+1155.36%)
Mutual labels:  recommender-system
rawphp
A powerful, robust and API-first, PHP framework that helps people from different PHP backgrounds work on the same project seamlessly. You can write Laravel, CakePHP, Slim, Symphone and Procedural PHP code inside it and it all works perfectly. Its the PHP Framework for everyone.
Stars: ✭ 31 (-88.93%)
Mutual labels:  slim
NeuralCitationNetwork
Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
Stars: ✭ 24 (-91.43%)
Mutual labels:  recommender-system
Caiss
跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大,使用方便。欢迎star & fork。Build together! Power another !
Stars: ✭ 142 (-49.29%)
Mutual labels:  recommender-system
Kdd winniethebest
KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place
Stars: ✭ 142 (-49.29%)
Mutual labels:  recommender-system
Video prediction
Stochastic Adversarial Video Prediction
Stars: ✭ 247 (-11.79%)
Mutual labels:  vae
molecular-VAE
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
Stars: ✭ 36 (-87.14%)
Mutual labels:  vae
Vae Cvae Mnist
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Stars: ✭ 229 (-18.21%)
Mutual labels:  vae
recommendation-api
Rank and serve recommendations
Stars: ✭ 14 (-95%)
Mutual labels:  recommender-system
Tf Vqvae
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Stars: ✭ 226 (-19.29%)
Mutual labels:  vae
RecoSys
Recommend system learning resources and learning notes
Stars: ✭ 49 (-82.5%)
Mutual labels:  recommender-system
Pytorch Vq Vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Stars: ✭ 204 (-27.14%)
Mutual labels:  vae
S Vae Tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Stars: ✭ 198 (-29.29%)
Mutual labels:  vae
Bagel
IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder
Stars: ✭ 45 (-83.93%)
Mutual labels:  vae
Disentangled vae
Replicating "Understanding disentangling in β-VAE"
Stars: ✭ 188 (-32.86%)
Mutual labels:  vae
Jass
SoulSeek client with web interface and recommender system
Stars: ✭ 23 (-91.79%)
Mutual labels:  recommender-system
Awesome Deep Learning Papers For Search Recommendation Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
Stars: ✭ 136 (-51.43%)
Mutual labels:  recommender-system
cmna-pkg
Computational Methods for Numerical Analysis
Stars: ✭ 13 (-95.36%)
Mutual labels:  matrix-factorization
Sdm
Sequential deep matching model for recommender system at Alibaba
Stars: ✭ 139 (-50.36%)
Mutual labels:  recommender-system
Pytorch Vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Stars: ✭ 181 (-35.36%)
Mutual labels:  vae
Factorvae
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Stars: ✭ 176 (-37.14%)
Mutual labels:  vae
recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Stars: ✭ 26 (-90.71%)
Mutual labels:  recommender-system
Vae Lagging Encoder
PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
Stars: ✭ 153 (-45.36%)
Mutual labels:  vae
QRec
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Stars: ✭ 1,354 (+383.57%)
Mutual labels:  recommender-system
Pytorch Vae
A Collection of Variational Autoencoders (VAE) in PyTorch.
Stars: ✭ 2,704 (+865.71%)
Mutual labels:  vae
RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
Stars: ✭ 272 (-2.86%)
Mutual labels:  recommender-system
Vae Seq
Variational Auto-Encoders in a Sequential Setting.
Stars: ✭ 145 (-48.21%)
Mutual labels:  vae
keras-aquarium
a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
Stars: ✭ 14 (-95%)
Mutual labels:  matrix-factorization
Tensorflow Mnist Cvae
Tensorflow implementation of conditional variational auto-encoder for MNIST
Stars: ✭ 139 (-50.36%)
Mutual labels:  vae
Yue
A python library for music recommendation
Stars: ✭ 88 (-68.57%)
Mutual labels:  recommender-system
Srl Zoo
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Stars: ✭ 125 (-55.36%)
Mutual labels:  vae
customer churn prediction
零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结
Stars: ✭ 58 (-79.29%)
Mutual labels:  factorization-machines
ds3-spring-2018
Материалы третьего набора офлайн-программы Data Scientist.
Stars: ✭ 22 (-92.14%)
Mutual labels:  recommender-system
Numpy Ml
Machine learning, in numpy
Stars: ✭ 11,100 (+3864.29%)
Mutual labels:  vae
OLSTEC
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Stars: ✭ 30 (-89.29%)
Mutual labels:  matrix-factorization
Cross Lingual Voice Cloning
Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.
Stars: ✭ 106 (-62.14%)
Mutual labels:  vae
Slim-Console
Slim Framework Console
Stars: ✭ 26 (-90.71%)
Mutual labels:  slim
Python World
Stars: ✭ 98 (-65%)
Mutual labels:  vae
precision-recall-distributions
Assessing Generative Models via Precision and Recall (official repository)
Stars: ✭ 80 (-71.43%)
Mutual labels:  vae
Vae For Image Generation
Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
Stars: ✭ 87 (-68.93%)
Mutual labels:  vae
ruby3-rails6-bootstrap-heroku
An opinionated starter application based on Ruby 3.0, Rails 6.1, Webpack 5, Yarn, and Bootstrap 5, deployable on Heroku
Stars: ✭ 21 (-92.5%)
Mutual labels:  slim
auction-website
🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.
Stars: ✭ 44 (-84.29%)
Mutual labels:  recommender-system
Rnn recsys
Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
Stars: ✭ 135 (-51.79%)
Mutual labels:  recommender-system
Elasticctr
ElasticCTR,即飞桨弹性计算推荐系统,是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务,帮助用户在Kubernetes环境中一键完成推荐系统部署,具备高性能、工业级部署、端到端体验的特点,并且作为开源套件,满足二次深度开发的需求。
Stars: ✭ 123 (-56.07%)
Mutual labels:  recommender-system
Pytorch-RL-CPP
A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)
Stars: ✭ 73 (-73.93%)
Mutual labels:  vae
Comirec
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
Stars: ✭ 123 (-56.07%)
Mutual labels:  recommender-system
vae-concrete
Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
Stars: ✭ 51 (-81.79%)
Mutual labels:  vae
PHP-Frameworks-Bench
Popular PHP Frameworks Benchmark.
Stars: ✭ 28 (-90%)
Mutual labels:  slim
Sigir2020 peterrec
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Stars: ✭ 121 (-56.79%)
Mutual labels:  recommender-system
301-360 of 472 similar projects