onefishy / am207Links
☆20Updated 2 years ago
Alternatives and similar repositories for am207
Users that are interested in am207 are comparing it to the libraries listed below
Sorting:
- Harvard Applied Math 205: Code Examples☆87Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆204Updated last year
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 6 months ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆24Updated 5 years ago
- Statistical Inference Course☆42Updated 5 months ago
- Repository for participants of the "Python software engineering" training☆43Updated last month
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- Neat Bayesian machine learning examples☆58Updated 4 months ago
- Implementation of normalizing flows from 1d to Nd☆34Updated 4 years ago
- A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.☆49Updated 3 years ago
- Workshop on Bayesian inference using PyMC☆27Updated 3 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- ☆17Updated 7 months ago
- ☆45Updated 5 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- An Essential Graphic Primer of Matplotlib☆30Updated 3 years ago
- ☆16Updated 3 years ago
- Python codes for Introduction to Computational Stochastic PDE☆43Updated 3 months ago
- Course notes for graduate-level class on numerical methods for deep learning☆51Updated 4 years ago
- Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…☆26Updated 2 years ago
- ☆28Updated 3 years ago
- ☆36Updated 4 years ago
- Different methods of solving partial differential equations with neural networks☆17Updated 3 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Tutorial on time-series forcasting with scikit-learn☆33Updated 2 years ago
- Spring 2023 seminar on automated experiment☆23Updated last year
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆47Updated 2 years ago
- PythonHPC☆115Updated last year
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆77Updated 2 months ago
- ☆12Updated 2 years ago