passion4energy Goto Github PK
Type: User
Bio: Enthusiastic about data analysis and machine learning for energy applications
Location: Germany
passion4energy's Projects
120-data-science-interview-questions
Answers to 120 commonly asked data science interview questions.
a-new-convolutional-neural-network-based-data-driven-fault-diagnosis-method
TensorFlow implementation of a CNN based mechanical science paper
achp
A python-based air conditioning and heat pump system model
advanced-time-series-analysis
Advance Time Series Analysis using Probabilistic Programming, Auto Regressive Neural Networks and XGBoost Regression.
alibi-detect
Algorithms for outlier and adversarial instance detection, concept drift and metrics.
alpha_vantage
A python wrapper for Alpha Vantage API for financial data.
alphacsc
Convolution dictionary learning for time-series
amici
Advanced Multilanguage Interface to CVODES and IDAS
anda
¡AnDA! is a Python library for the Analog Data Assimilation.
anomaly-detection-libs
Simple libraries for anomaly (outlier) detection
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
anomalydetection
This repository is part of an article about how to forecast and detect anomalies on time-series data. The main objective is to train a RNN regressor on the Bitcoin dataset to predict future values on then detect anomalies in the whole data window - that last step achieved by implementing a RNN Autoencoder. You'll see some other models in the notebooks that I've provided to you in case they are of your interest and this RNN regressor + RNN Autoencoder doesn't perform well for your purpose in any other scenario. The dataset used is available at https://www.kaggle.com/mczielinski/bitcoin-historical-data and contains BITCOIN/USD 1-minute candle data, from 2012-01-01 to 2020-12-31. I hope you can get advantage of this approach!
apm_python
APMonitor Optimization Suite in Python
arauto
An open-source tool for quick Time Series Analysis and Forecasting
arima_python
ARMA/ARIMA toolbox for Python 3
arrayfire
ArrayFire: a general purpose GPU library.
arviz
Exploratory analysis of Bayesian models with Python
assimulo
Assimulo is a simulation package for solving ordinary differential equations.
atv-ntsa
Tutorial on nonlinear time series analysis
autoencoder_classifier
Autoencoder model for rare event classification
autolrs
Automatic learning-rate scheduler
automated-data-preprocessing
A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables.
awesome-dash
A curated list of awesome Dash (plotly) resources
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
awesome-ts-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
ax
Adaptive Experimentation Platform
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