2017wxyzwxyz Goto Github PK

medium_notebook

Repository containing notebooks of my posts on Medium

mim

Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

ml_cia

公众号机器学习荐货情报局所有代码

ml_practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

mlcnn-multivariate-time-series

Codes for Multi-Level Construal Neural Network framework

mlcourse.ai

Open Machine Learning Course

mlogger

a lightweight and simple logger for Machine Learning

msrwgwo

Multi-strategy Random weighted Gray Wolf Optimizer

multidimensional-lstm-bitcoin-time-series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

multidimensional-time-series-prediction-

Multidimensional Time Series Prediction by using LSTM

multivariate-lstm

Implementations of a deep multivariate lstm used for high-dimensional time series prediction in pytorch

multivariate-time-series-data

multivariate-time-series-models-in-keras

This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.

n-beats

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

n-beats-1

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

nculstm-code

including code of nculstm, lstm and gru

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

o2o-coupon-usage-forecast

1st Place Solution for O2O Coupon Usage Forecast

online-recurrent-extreme-learning-machine

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

paper-implementation-dstp-rnn-for-stock-prediction-based-on-da-rnn

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

paper-reading

深度学习经典、新论文逐段精读

paper2

This repository contains the MATLAB codes for the time-series prediction using (i) MMSE forecast of ARIMA models (ii) Kalman filter approach (iii)Artificial neural networks. The codes for the wavelet version of the above techniques is also presented here.

passenger_forecast

客流预测、Resnet

prediction-and-classification-of-time-series-data-with-lstm

Demo files for a Japanese web seminar "Prediction and Classification of time series data with LSTM"

predictive-maintenance-using-lstm

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

probabilistic-load-forecasting-with-quantile-regression

Comparison study of GB, XGB, LGBM and NN's performance in probabilistic load forecasting

pso-fts

MATLAB Implementation of "Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques"

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book