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aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

datacastle_subsidy

Datacastle助学金精准预测冠军代码

flask-gentelella

Gentelella template powered by Flask

flask_template_auth_with_dash

Flask_template_auth_with_Dash

graphsetintersection

Codes of the paper "Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions"

ippd

Mao Tan, Siping Yuan, Shuaihu Li, Yongxin Su, Hui Li, Feng He, Ultra-short-term industrial power demand forecasting using LSTM based hybrid ensemble learning, IEEE Trans. on Power System, 2019, doi:10.1109/TPWRS.2019.2963109.

kesci_ctrip

用户预订售卖房型概率预测--top1

load-forecasting-resnet

short-term load forecasting with deep residual networks

load_forecasting

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

load_forecasts_attack

Code repo for E-Energy 2019 paper

loadforecasting

lstm-load-forecasting

Electricity load forecasting with LSTM (Recurrent Neural Network)

mmass

A copy of mmass v.5.5.0 source code

science_flask

ScienceFlask: an open-source template for scientific web-app development

short-term-load-forecasting-for-electric-power-systems

smartgrid

Research

stacknet

StackNet is a computational, scalable and analytical Meta modelling framework

tianchi_competition_documents

collection of documents for tianchi big data competitions, mostly from winning solution.

time_series

Data package: time series of load, wind and solar generation

triangles

Counting triangles in large graphs on GPU

tsfresh

Automatic extraction of relevant features from time series:

university-load-forecasting

My undergraduate senior thesis: Load forecasting at the university-scale