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achp

A python-based air conditioning and heat pump system model

aia_st2_kaggle_ml4

用Tensorflow2.0進行外匯收盤價預測, 使用LSTM, 1d-CNN, Seq2Seq

aipoweredcooling

Minimizing Costs in Energy Consumption of a Data Center using Deep Q Learning

alternator_analysis

依据发电机电流预测发电机故障以及故障时间

analytics_vidhya

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

anomaly-detection-using-unsupervised-machine-learning-algorithms-in-hvac-system

Applied unsupervised machine learning algorithms (K-Means Clustering and Isolation Forest) on time series data collected from an Air Handling Unit of a building to detect anomalous behavior of the system. Applied exploratory data analysis using Python to identify non-optimal working conditions of the AHU. Designed an automated anomaly detection system and a corrective strategy to control the AHU effectively.

apple-share-price-prediction

Built an LSTM model to predict apple share price. Trained it past 6 months daily price data.

ashraeenergyprediction

battery-aging

Auto encoder for anomaly detection on battery data

battery-analysis-platform

动力电池数据分析系统

batterydataanalysis

Graduation-project

batterydatasetimplementation

Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset

batteryprognostics

Predicts battery degradation by training and verifying a multi-layer GRU-RNN.

building-energy-model-matlab

It is a small software which is developed by MATLAB for modeling the energy system of a building or HVAC system.

chat

Tensorflow: lstm, seq2seq model

chillermlr

Predict performance of a centrifugal chiller using Multiple Linear Regression

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

cpo

Constrained Policy Optimization

cvxmg

CVXMG is a python based package that allows the users to compute the sizing of Isolated/Islanded MicroGrids (IMGs).

cycle-life-model-for-graphite-lifepo4-cells

State of charge and state of health estimation of Li-ion battery

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-reinforcement-learning-reimplementation

Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.

deep_learning_stlf

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

deeplearning

Python for “Deep Learning”，《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

electric-vehicle-battery-range-prediction

Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).

far-cnn-for-high-resolution-time-series

Code for the paper " Day-Ahead High-Resolution Forecasting of Natural Gas Demand and Supply in Germany with a Hybrid FAR-CNN Model"

faultpredictionsystem

毕设-设备故障预测系统

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gekko

GEKKO Python for Machine Learning and Dynamic Optimization