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analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

baseadapter

Android 万能的Adapter for ListView,RecyclerView,GridView等，支持多种Item类型的情况。

bluetoothdemo

android手机控制蓝牙模块单片机实现开关的控制

deep_learning_stlf

Work done for paper (Load Forecasting using Deep Neural Networks) at IEEE SmartGridComm 2016 — Edit

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

electric-load-forecasting

基于LSTM的电力负荷预测

electric-power-hourly-load-forecasting-using-recurrent-neural-networks

This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.

electricity-load-forecasting

Electricity load forecasting

electricity_load_forecast

Electricity Load and Price Forecasting

experiments_with_python

experiments with python

global-terrorism-database-k-means

A visualization of k-means clustering on terrorist attack locations

global-terrorist-attacks

model that can predict what group may have been responsible for an incident using Random Forest Classifier

kubo

An Off-grid block chain based network for renewable energy and power sharing

learnjavascriptfromblue

再次通过智能社blue老师的教学视频学习javascript时，敲下的代码

load_forecasting

Load forcasting on Delhi area electric power load.

load_forecasting-1

A framework for load forecasting, where seasonal cycles are removed from the input signal. A genetic algorithm is used to parameterize various forecasting models.

lstm-load-forecasting

Electricity load forecasting with LSTM (Recurrent Neural Network)

multi-sensor-datacollector

多传感器设备数据采集发送app (android)

phone-data_collection

使用brainlink采集禅修过程中的脑电信号，通过蓝牙连接手机app，记录禅修过程中注意力。还有打卡、评论交流功能。上传禅修数据，后端有详细的分析算法。这里后端程序没有上传

powerchain

Building Blocks for a P2P Energy System (Smart Contracts for a Smart Grid)

predicting-terrorism-in-europe-through-decision-trees-and-random-forests

Given enough data, could we make predictions on whether a terrorist attack will be successful, or not? This analysis aims to do just that using Decision Trees and Random Forests created with scikit-learn. (Python)

predicting-terrorist-attacks

Predicting terrorist attacks using the Global Terrorism Database (GTD).

python-machine-learning-blueprints

Code repository for Python Machine Learning Blueprints, published by Packt

qingguo

实验室数据采集app

savereadwritedeletesqlite

How to Save/Read/Write/Delete data from SQLite database Android

scomm

与单片机设计对应的上位机，用于发送数据以控制下位机、以及接收下位机的温度数据并用曲线显示。

short-term-electrical-load-forecast

Short-term load forecasting

shorttermloadforecasting

sunseed-short-term-load-forecasting