caam37830 / bookLinks
Course Reader based on Jupyter-Book
☆41Updated 3 years ago
Alternatives and similar repositories for book
Users that are interested in book are comparing it to the libraries listed below
Sorting:
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆39Updated last week
- Harvard Applied Math 205: Code Examples☆91Updated 3 years ago
- Parallel Programming with Python Tutorial☆38Updated last year
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆58Updated 3 years ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆70Updated last year
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆184Updated last year
- Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021☆11Updated 3 years ago
- Neat Bayesian machine learning examples☆58Updated last week
- Julia Jupyter/Colab Notebooks☆165Updated last week
- ☆45Updated 5 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆221Updated last year
- ☆36Updated 2 years ago
- PythonHPC☆115Updated 2 years ago
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated 2 years ago
- Bayesian Learning course at Stockholm University☆156Updated last week
- Julia code for the book Numerical Linear Algebra☆126Updated 2 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆59Updated last year
- Lectures on Quantitative Economics Using JAX☆45Updated last month
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆114Updated 7 months ago
- Course material for 1RT700 Statistical Machine Learning☆64Updated 3 weeks ago
- A curated list of resources for learning Gaussian Processes☆41Updated 4 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 6 months ago
- ☆25Updated 4 years ago
- 18.S096 - Applications of Scientific Machine Learning☆311Updated 3 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated 10 months ago
- Introduction to deep learning☆53Updated last week
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining …☆14Updated 2 years ago
- Materials for a proposed Causal Inference Tutorial session at SciPy 2023☆12Updated 2 years ago
- ☆104Updated last week