pymc-learn / pymc-learn-bookLinks
Book: Practical Probabilistic Machine Learning in Python
☆10Updated 4 years ago
Alternatives and similar repositories for pymc-learn-book
Users that are interested in pymc-learn-book are comparing it to the libraries listed below
Sorting:
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 8 years ago
- PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing☆10Updated 3 years ago
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Updated 8 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 7 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Data Processing Advanced: a course on scientific computing with Numpy/Scipy☆22Updated 8 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 7 years ago
- ☆23Updated last year
- BUS 41204: Machine Learning -- Winter 2016☆11Updated 8 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆20Updated 8 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Updated 6 years ago
- ☆15Updated 6 years ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 6 years ago
- ☆31Updated 9 years ago
- Random effects neural networks with Edward and Keras☆14Updated 8 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Advanced GBM Workshop - Budapest, Nov 2019☆12Updated 5 years ago
- ☆4Updated 7 years ago
- 100 Days of Experimenting with TensorFlow Probability☆39Updated 5 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago