Stars
mzy-dsb / IT_book
Forked from guoxp/IT_book本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Evolutionary algorithm toolbox and framework with high performance for Python
SolarFinder: Automatic Detection of Solar Photovoltaic Arrays.
Predicting Solar Energy based on Weather Data via Multilayer Perceptron and Long Short-Term Memory
Multi-scale LSTM based hourly Photovoltaic (PV) power generation forecasting
Photovoltaic-Model: calculates the current-voltage characteristic of a solar cell using the two-diode model, with a possibility to fit an experimental characteristic
cwhanse / PVMismatch
Forked from SunPower/PVMismatchAn explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.
Photovoltaic power prediction based on weather data for my bachelor thesis
Photovoltaic Power Forecasting using LSTM
Hardware and software documentation and code for an open source IV curve tracer for photovoltaic solar panels.
Use indykoning/PyPi_GrowattServer instead of this project.
A catalog of open source tools for solar energy.
One SOM network build by my self to classify one photovoltaic failure dataset
🐞 Core ladybug library for weather data analysis and visualization
A set of documented functions for simulating the performance of photovoltaic energy systems.
Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.
Detection of faults in photovoltaic panels using CNN.
mzy-dsb / model-zoo
Forked from ChrisBrown46/model-zooPlease do not feed the models
mzy-dsb / ML-assignments
Forked from Sakura-gh/ML-assignmentsabout Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.