使用pytorch搭建的循环神经网络在股票数据时间序列上的应用
pytorch
Predicting different market prices using Deep Learning and Recurrent Neural Networks
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...
Implemented a predictive model for market prices leveraging deep learning techniques. Utilized re...
Future power consumption prediction using LSTM, GRU and Transformer models
State-of-the art Automated Machine Learning python library for Tabular Data
Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM
Training neural networks in PyTorch
Unifying all code detailing learned ML concepts for easy reuse.
Keras implementation of GRU4Rec session-based recommender system
