eoc1991

YoloV4

Yolo v4 in pytorch, tensorflow and onnx

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。

NARRE

DeepCoNN

DeepCoNN

This is our implementation of DeepCoNN

NARRE

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

word2vec-flask-api

Flask API for Word2vec

NeuralCF

A fork from https://github.com/hexiangnan/neural_collaborative_filtering. Change keras version to v2.1.3, and use tensorflow as the backend.

CARL

The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo, https://dl.acm.org/citation.cfm?id=3298988

2nd-ML100Days

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

cornac

A Comparative Framework for Multimodal Recommender Systems

QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

top-k-rec

A method collection for top-k recommendation

variational-autoencoders-for-collaborative-filtering-pytorch

Implementation of variational autoencoders for collaborative filtering in PyTorch

torch.github.io

Torch's web page.

Autoencoders_cf

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

pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

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

MKR

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)