zacharyaanglin / ProbabilisticDeepLearningTensorFlowLinks
Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
☆72Updated 5 years ago
Alternatives and similar repositories for ProbabilisticDeepLearningTensorFlow
Users that are interested in ProbabilisticDeepLearningTensorFlow are comparing it to the libraries listed below
Sorting:
- legend☆202Updated last year
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆271Updated 3 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆159Updated 5 years ago
- Learn Pyro through the M5 forecasting competition☆85Updated 5 years ago
- ☆39Updated 6 years ago
- Bayesian Bandits☆68Updated last year
- In which I play with the ideas surrounding causality☆52Updated 2 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆174Updated 2 years ago
- Bayesian time series forecasting and decision analysis☆115Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling☆58Updated 7 years ago
- ☆240Updated 6 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 3 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 6 months ago
- 100 Days of Experimenting with TensorFlow Probability☆39Updated 5 years ago
- vanilla machine learning☆109Updated last year
- Hidden Markov models in PyMC3☆99Updated 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 s…☆13Updated 4 years ago
- ☆45Updated 5 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Updated 2 years ago
- Statistical Rethinking course in pymc3☆143Updated 5 years ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆69Updated 11 months ago
- ☆24Updated 4 years ago
- Berlin Time Series Analysis Repository☆99Updated 2 years ago
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆269Updated 3 weeks ago
- ☆48Updated 7 years ago
- Workshop on Bayesian inference using PyMC☆27Updated 3 years ago
- Hello world univariate examples for a variety of time series packages.☆56Updated 8 months ago
- Probabilistic Gradient Boosting Machines☆154Updated last year