Wild6900
Course materials for WILD6900: Applied Bayesian Analysis for Ecological Data
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Bda_course_aalto | 2,099 | 4 months ago | 1 | TeX | ||||||
| Bayesian Data Analysis course at Aalto | ||||||||||
| Bayesian Stats Modelling Tutorial | 601 | 2 years ago | 14 | mit | Jupyter Notebook | |||||
| How to do Bayesian statistical modelling using numpy and PyMC3 | ||||||||||
| Bayes_computing_course | 208 | 3 years ago | 1 | mit | Jupyter Notebook | |||||
| Probai 2019 | 89 | 4 years ago | Jupyter Notebook | |||||||
| Materials of the Nordic Probabilistic AI School 2019. | ||||||||||
| Bayesianastronomy | 66 | 8 years ago | 1 | Jupyter Notebook | ||||||
| Bayesian Methods in Astronomy workshop, presented at AAS227 | ||||||||||
| Bayesforundergrads | 44 | 8 years ago | mit | |||||||
| Materials for a workshop on developing undergraduate classes on Bayesian statistics. | ||||||||||
| Pyconhk2015 Adaptive Learning | 26 | 9 years ago | ||||||||
| Materials for the talk on adaptive learning at PyCon HK 2015 | ||||||||||
| Iap Appbml | 26 | 7 years ago | Python | |||||||
| Applied Probabilistic Programming & Bayesian Machine Learning (MIT IAP 2017) | ||||||||||
| Computational_statistics | 25 | a year ago | 7 | gpl-3.0 | TeX | |||||
| Course materials for Computational Statistics, PhD course at EMAp. | ||||||||||
| Embracinguncertainty | 24 | 2 years ago | Jupyter Notebook | |||||||
| Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty" | ||||||||||
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Course Materials