oduerr / dl_book_docker
docker container for the deep learning book
β15Updated 4 years ago
Related projects β
Alternatives and complementary repositories for dl_book_docker
- Code for blog post on Bayesian inference in PyStanβ20Updated 3 years ago
- πͺ Bayesian Hierarchical Models at Scaleβ51Updated 3 years ago
- β45Updated 4 years ago
- Workshop on Bayesian inference using PyMCβ26Updated 3 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inferenceβ26Updated 5 years ago
- In which I play with the ideas surrounding causalityβ50Updated 2 years ago
- legendβ197Updated last year
- The 2020 Version of the Deep Learning Courseβ8Updated 4 years ago
- Tutorial on time-series forcasting with scikit-learnβ36Updated last year
- Machine Learning models using a Bayesian approach and often PyMC3β25Updated 3 years ago
- Hands-On Simulation Modeling with Python, published by Packtβ62Updated last year
- Course material for the PhD course in Advanced Bayesian Learningβ56Updated 2 weeks ago
- Lecture Notes on Statistical Inferenceβ74Updated last month
- My solutions to the assignments in the book: "A Studentβs Guide to Bayesian Statistics" by Ben Lambert.β63Updated 5 months ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area ofβ¦β62Updated last year
- Basic time series modeling with Stan and Pystanβ33Updated 7 years ago
- β40Updated 6 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the howβ70Updated 4 years ago
- Utilities for probabilistic MLβ32Updated last year
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making sβ¦β12Updated 4 years ago
- Bayesian Banditsβ66Updated last year
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"β25Updated 5 years ago
- Hidden Markov models in PyMC3β97Updated 8 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.β17Updated this week
- Train deepGLM with Matlab, R and Pythonβ27Updated last year
- β17Updated 3 years ago
- β14Updated last year
- Machine Learning vs Statistical Methods for Time Series Forecasting: Size Mattersβ39Updated 5 years ago
- β88Updated this week
- State Space Estimation of Time Series Models in Python: Statsmodelsβ42Updated 7 years ago