caam37830 / bookLinks
Course Reader based on Jupyter-Book
☆42Updated 3 years ago
Alternatives and similar repositories for book
Users that are interested in book are comparing it to the libraries listed below
Sorting:
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆54Updated 4 years ago
- Harvard Applied Math 205: Code Examples☆98Updated 3 years ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆57Updated 2 years ago
- A curated list of resources for learning Gaussian Processes☆42Updated 4 years ago
- PythonHPC☆116Updated 2 years ago
- Neat Bayesian machine learning examples☆58Updated this week
- Materials for a proposed Causal Inference Tutorial session at SciPy 2023☆12Updated 2 years ago
- Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)☆44Updated 9 months ago
- ☆45Updated 5 years ago
- http://cranmer.github.io/stats-ds-book☆75Updated 4 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆28Updated 2 months ago
- This repository contains implementations of some basic sampling methods in numpy.☆67Updated 5 years ago
- ☆25Updated 4 years ago
- Workshop on Bayesian inference using PyMC☆27Updated 4 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 3 years ago
- Gaussian Process Regression Interactive Javascript Demo☆58Updated 7 years ago
- Harvard AM205: group activity files☆18Updated 4 years ago
- Not the research toolkit you deserve, but the one you need right now☆47Updated last year
- Parallel Programming with Python Tutorial☆40Updated 2 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆72Updated 6 years ago
- Lectures on Quantitative Economics Using JAX☆48Updated this week
- Bibtex for various Python science and machine learning software☆33Updated 3 years ago
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated 2 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆190Updated last week
- Caltech BE/Bi 103 a website☆13Updated 2 months ago
- Introduction to deep learning☆56Updated 2 months ago
- CSCS HPC Summer School 2019☆25Updated 6 years ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆76Updated last year
- Course material for 1RT700 Statistical Machine Learning☆63Updated last month
- Gaussian-Processes Surrogate Optimisation in python☆18Updated 4 years ago