shawn-nau Goto Github PK

forecast

a toolkit for forecasting energy time series

forecasting

gbrt-for-tsf

Do We Really Need Deep Learning Models for Time Series Forecasting

gcn_tutorial

A tutorial on Graph Convolutional Neural Networks

gconvrnn

Graph convolutional recurrent neural network

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

gluonts-hierarchical-icml-2021

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-wavenet

heuristic_optimization

Heuristics for derivative-free optimization

hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

instacart

2nd place solution🥕🥈

kaggle-web-traffic

1st place solution

keras

R Interface to Keras

keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

keras-gcn

Keras implementation of Graph Convolutional Networks

keras-graph-convolution-gru

keras graph convolution GRU

keras-graph-convolution-layer

ICLR 2017 SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS 1st-odder approximation

large-scale-data-mining

This repository contains projects from Large Scale Data Mining course(Winter 2018) at UCLA

load_forecasting

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

m5-python-starter

Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.

m6

M6-Forecasting competition

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

machinelearningsamples-energydemandtimeseriesforecasting

MachineLearningSamples-EnergyDemandTimeSeriesForecasting

mds-7374-business-analytics

Repo for data sets, assignments readings and other materials for Business Analytics

metats

Time series forecasting with meta-learning

modelconf

Estimation of Model Confidence Sets in R

mtnet

Tensorflow implementation of paper http://arxiv.org/abs/1809.02105

multivariate-time-series-data