deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-55.26%)
Mutual labels: recurrent-neural-networks, variational-autoencoder, pytorch-implementation
Vae cfVariational autoencoders for collaborative filtering
Stars: ✭ 386 (+915.79%)
Mutual labels: collaborative-filtering, bayesian-inference, variational-autoencoder
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (+218.42%)
Mutual labels: collaborative-filtering, recommender-system, variational-autoencoder
RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Stars: ✭ 145 (+281.58%)
Mutual labels: collaborative-filtering, recommender-system
NGCF-PyTorchPyTorch Implementation for Neural Graph Collaborative Filtering
Stars: ✭ 200 (+426.32%)
Mutual labels: recommender-system, pytorch-implementation
Movielens RecommenderA pure Python implement of Collaborative Filtering based on MovieLens' dataset.
Stars: ✭ 131 (+244.74%)
Mutual labels: collaborative-filtering, recommender-system
RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Stars: ✭ 71 (+86.84%)
Mutual labels: collaborative-filtering, recommender-system
PolaraRecommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Stars: ✭ 205 (+439.47%)
Mutual labels: collaborative-filtering, recommender-system
CollaborativememorynetworkCollaborative Memory Network for Recommendation Systems, SIGIR 2018
Stars: ✭ 170 (+347.37%)
Mutual labels: collaborative-filtering, recommender-system
Deep Learning For Recommendation SystemsThis repository contains Deep Learning based articles , paper and repositories for Recommender Systems
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Mutual labels: collaborative-filtering, recommender-system
AC-VRNNPyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
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Mutual labels: recurrent-neural-networks, variational-autoencoder
recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Stars: ✭ 26 (-31.58%)
Mutual labels: recurrent-neural-networks, recommender-system
EnmfThis is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Stars: ✭ 96 (+152.63%)
Mutual labels: collaborative-filtering, recommender-system
Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
Stars: ✭ 85 (+123.68%)
Mutual labels: collaborative-filtering, recommender-system
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
Stars: ✭ 2,569 (+6660.53%)
Mutual labels: collaborative-filtering, recommender-system
slopeonePHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
Stars: ✭ 85 (+123.68%)
Mutual labels: collaborative-filtering, recommender-system
Collaborative Deep Learning For Recommender SystemsThe hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Stars: ✭ 60 (+57.89%)
Mutual labels: collaborative-filtering, recommender-system
GorseAn open source recommender system service written in Go
Stars: ✭ 1,148 (+2921.05%)
Mutual labels: collaborative-filtering, recommender-system
Recommender SystemA developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Stars: ✭ 227 (+497.37%)
Mutual labels: collaborative-filtering, recommender-system
