PacktPublishing / Deep-Learning-and-XAI-Techniques-for-Anomaly-Detection
Deep Learning and XAI Techniques for Anomaly Detection, published by Packt
☆38Updated last year
Alternatives and similar repositories for Deep-Learning-and-XAI-Techniques-for-Anomaly-Detection:
Users that are interested in Deep-Learning-and-XAI-Techniques-for-Anomaly-Detection are comparing it to the libraries listed below
- Explainable AI with Python, published by Packt☆162Updated 2 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆69Updated last year
- Data Cleaning and Exploration with Machine Learning☆53Updated 2 years ago
- Code repository for the book feature selection in machine learning☆29Updated last month
- Effective Approaches for Time Series Anomaly Detection☆11Updated 4 years ago
- B21145 - Deep Learning for Time Series Data Cookbook☆52Updated 9 months ago
- ☆15Updated 5 months ago
- ☆60Updated 4 years ago
- Time Series Forecasting for the M5 Competition☆40Updated 3 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated last year
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆83Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆58Updated 2 years ago
- ☆25Updated 4 years ago
- Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari☆84Updated 5 years ago
- Example MLOps using BentoML & mlFlow☆37Updated 3 years ago
- Interpretable ML with Python, 2E - published by Packt☆92Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆204Updated 2 years ago
- Slides for "Feature engineering for time series forecasting" talk for DataTalks.Club given in August 2022.☆25Updated 2 years ago
- Building Statistical Models in Python, Published by Packt☆25Updated last month
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆65Updated 2 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆32Updated 5 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆241Updated last year
- Modern Time Series Forecasting with Python 2E, Published by Packt☆114Updated 2 months ago
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆103Updated 2 years ago
- Production-Ready Applied Deep Learning☆88Updated last year
- Machine Learning Engineering with MLflow, published by Packt☆115Updated 8 months ago
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python☆49Updated 2 months ago
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆62Updated last year
- Code repository for the online course Machine Learning with Imbalanced Data☆171Updated 3 months ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago