Pinned Repositories
Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
Applications-of-AI-for-Predictive-Maintenance
Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.
Applied-AI-Study-Group
This is the repository for the content of inzva Applied AI Study Group.
auto-py-to-exe
Converts .py to .exe using a simple graphical interface
binance-connector-python
a simple connector to Binance Public API
data
Deep-Learning-for-UK-electricity-price-prediction
elektrik
NASA-Jet-Engine-Maintenance
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
Wind_Turbine_SCADA_open_data
list of open data wind turbine data sets
hidayetyakupoglu's Repositories
hidayetyakupoglu/Wind_Turbine_SCADA_open_data
list of open data wind turbine data sets
hidayetyakupoglu/NASA-Jet-Engine-Maintenance
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
hidayetyakupoglu/Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
hidayetyakupoglu/Applications-of-AI-for-Predictive-Maintenance
Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.
hidayetyakupoglu/Applied-AI-Study-Group
This is the repository for the content of inzva Applied AI Study Group.
hidayetyakupoglu/auto-py-to-exe
Converts .py to .exe using a simple graphical interface
hidayetyakupoglu/binance-connector-python
a simple connector to Binance Public API
hidayetyakupoglu/data
hidayetyakupoglu/Deep-Learning-for-UK-electricity-price-prediction
hidayetyakupoglu/elektrik
hidayetyakupoglu/Learning-Pandas-Second-Edition
Learning pandas, Second Edition, published by Packt
hidayetyakupoglu/energy_arbitrage_work_sample
hidayetyakupoglu/hissehesaplay-c-
hidayetyakupoglu/Kapsamli_Derin_Ogrenme_Rehberi
Bu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽
hidayetyakupoglu/LSTM-Autoencoder-for-Anomaly-Detection
AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow
hidayetyakupoglu/Machine-Learning-for-Predictive-Maintenance-on-Wind-Turbines
hidayetyakupoglu/pandapower
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
hidayetyakupoglu/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
hidayetyakupoglu/Predictive-maintenance-cost-minimization-using-ML-ReneWind
The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.
hidayetyakupoglu/predictive-maintenance_onemli
Demonstration of MapR for Industrial IoT
hidayetyakupoglu/pump-it-up
DrivenData challenge for fun. Using LightGBM + streamlit for interactive reporting
hidayetyakupoglu/ReneWind-Predictive-Maintenance
“ReneWind” is a company working on improving the machinery/processes involved in the production of wind energy using machine learning and has collected data of generator failure of wind turbines using sensors. They have shared a ciphered version of the data, as the data collected through sensors is confidential (the type of data collected varies wi
hidayetyakupoglu/Software-Development-for-Algorithmic-Problems_Project-3
Time Series Forecasting using RNN, Anomaly Detection using LSTM Auto-Encoder and Compression using Convolutional Auto-Encoder
hidayetyakupoglu/Stock-App
hidayetyakupoglu/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
hidayetyakupoglu/switchboard-dapp
Energy Web Switchboard UI
hidayetyakupoglu/tradingview-webhook
hidayetyakupoglu/Udemy_DerinOgrenmeyeGiris
Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası
hidayetyakupoglu/veri
hidayetyakupoglu/WT_fault_identification
Wind Turbine Fault Identification using Machine Learning Techniques applied to SCADA data