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air_pollutants_prediction_lstm

This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA

chinafundportfoliooptimization

Hold on a sec. Almost there!

convlstm

A graduation project

convtimelstm

Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

forcasting_convlstm

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

lstm

基于LSTM神经网络的时间序列预测

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

python-programming-exercises

100+ Python challenging programming exercises

riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

rqalpha

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

solar-irradiance-prediction

Solar radiance prediction using CNN and ConvLSTM models

sparse-conv-lstm

Sparse ConvLSTM for Point Cloud Semantic Segmentation

sph3d-gcn

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds