eoc09's starred repositories
movieRecommendation
本项目使用两种算法来实现一个电影推荐系统,一个是CNN,另一个是矩阵分解的协同过滤。
word2vec-flask-api
Flask API for Word2vec
Collaborative-Filtering-by-Probabilistic-Matrix-Factorization
A recommendation system (in Python) based on Probabilistic Matrix Factorization algorithm and tested on 100k ratings dataset from MovieLens
Probabilistic-matrix-factorization-in-Python
Probabilistic matrix factorization (PMF) in Python
Restaurant-Recommendations-with-Yelp
🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.
Probabilistic-Matrix-Factorization
Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
variational-autoencoders-for-collaborative-filtering-pytorch
Implementation of variational autoencoders for collaborative filtering in PyTorch
torch.github.io
Torch's web page.
recsys_papers_using_autoencoders
Recommendation System Papers using Autoencoders
DeepRecommender
Training Deep AutoEncoders for Collaborative Filtering
collaborative_filtering_keras
Collaborative filtering for Recommendation in Keras
collaborative-filtering-recommender-systems
Implementations of matrix factorization and restricted Boltzmann machine based algorithms for collaborative filtering.
TimeSeriesPrediction
天池智慧交通预测挑战赛解决方案
arima-lstm
a model for traffic flow forecast
Time-Series-ARIMA-XGBOOST-RNN
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
RecommendSystemPractice
《推荐系统实践》代码实现