PacktPublishing / Enhancing-Deep-Learning-with-Bayesian-Inference
Enhancing Deep Learning with Bayesian Inference, published by Packt
☆37Updated 6 months ago
Alternatives and similar repositories for Enhancing-Deep-Learning-with-Bayesian-Inference:
Users that are interested in Enhancing-Deep-Learning-with-Bayesian-Inference are comparing it to the libraries listed below
- The Regularization Cookbook, published by Packt☆12Updated 3 months ago
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆26Updated 3 months ago
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆37Updated 2 weeks ago
- Hands-On Simulation Modeling with Python, Second Edition, published by Packt☆32Updated last year
- Building Statistical Models in Python, Published by Packt☆29Updated 3 months ago
- Code Repository for The Kaggle Book 2nd Edition, Published by Packt☆11Updated last month
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆53Updated 8 months ago
- Data Labeling in Machine Learning with Python, by Packt Publishing☆17Updated last year
- Natural Language Understanding with Python published by Packt Publishing☆39Updated last year
- R Statistics Cookbook, published by Packt☆12Updated 2 years ago
- ☆16Updated 6 months ago
- Data Augmentation with Python, published by Packt☆36Updated 5 months ago
- Practical Machine Learning with LightGBM and Python, published by Packt☆14Updated 3 months ago
- Debugging Machine Learning Models with Python, published by Packt☆56Updated 3 months ago
- Feature Store for Machine Learning, published by Packt☆13Updated last year
- 15 Math Concepts Every Data Scientist Should Know, published by Packt☆36Updated 8 months ago
- Hands-On Simulation Modeling with Python, published by Packt☆66Updated 2 years ago
- Data Cleaning and Exploration with Machine Learning☆53Updated 2 years ago
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated last year
- Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt☆56Updated 2 years ago
- Dockerized Jupyter notebook to run commands from the ML Python Cookbook☆40Updated last year
- Modern Graph Theory Algorithms with Python, published by Packt☆27Updated 10 months ago
- Code Repository for Mastering Unsupervised learning with Python, Published by Packt☆27Updated 2 years ago
- Machine Learning Techniques for Text, Published by Packt☆34Updated last year
- Graph Data Modeling in Python, by Packt Publishing☆39Updated last month
- Hands On Computer Vision with Detectron2, Published by Packt☆31Updated last year
- Source Code for 'Advanced Forecasting with Python' by Joos Korstanje☆71Updated 3 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆63Updated 4 months ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year