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☆163Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆244Updated last year
- Machine Learning for Streaming Data with Python, published by Packt☆70Updated last year
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆66Updated 2 years ago
- ☆16Updated 7 months ago
- Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari☆84Updated 5 years ago
- Time Series Forecasting for the M5 Competition☆40Updated 3 years ago
- Effective Approaches for Time Series Anomaly Detection☆11Updated 4 years ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Interpretable ML with Python, 2E - published by Packt☆96Updated last year
- Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel☆362Updated 4 years ago
- Data Cleaning and Exploration with Machine Learning☆53Updated 2 years ago
- References to the Medium articles☆86Updated 2 years ago
- Code repository for the online course Machine Learning with Imbalanced Data☆177Updated 5 months ago
- Time Series Prediction☆45Updated 4 years ago
- Hands-On One-shot Learning with Python, published by Packt☆51Updated 2 years ago
- ☆12Updated 11 months ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆184Updated last year
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆104Updated 2 years ago
- ☆26Updated 4 years ago
- Comet for Data Science, published by Packt☆42Updated last year
- Source Code for 'Advanced Forecasting with Python' by Joos Korstanje☆72Updated 3 years ago
- Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised dee…☆129Updated 3 years ago
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆63Updated last year
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆123Updated 7 months ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆207Updated 2 years ago
- Code repository for the online course Machine Learning Interpretability☆26Updated 6 months ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆159Updated last year
- ☆15Updated 3 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated last year