ML
list of papers, code, and other resources
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
A toolkit for making real world machine learning and data analysis applications in C++
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Data, Benchmarks, and methods submitted to the M4 forecasting competition
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models