sleepymalc / HDP-SolutionLinks
Solution Manual for Roman Vershynin's High-Dimensional Probability
☆26Updated last year
Alternatives and similar repositories for HDP-Solution
Users that are interested in HDP-Solution are comparing it to the libraries listed below
Sorting:
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆135Updated last year
- Code for the book "The Elements of Differentiable Programming".☆282Updated 7 months ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- Deep Learning, an Energy Approach☆241Updated 7 months ago
- Lectures on Quantitative Economics Using JAX☆48Updated this week
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆199Updated 2 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆569Updated last week
- About A collection of AWESOME things about information geometry Topics☆176Updated last year
- Neat Bayesian machine learning examples☆58Updated 2 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- Interactive textbook on state-space models☆202Updated 2 years ago
- A course on imprecise probabilistic machine learning☆115Updated 2 weeks ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2024☆26Updated 6 months ago
- Structural Time Series in JAX☆213Updated last year
- The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization☆31Updated 4 years ago
- Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggrega…☆680Updated last year
- Official Github for Wharton STAT 4830☆55Updated last week
- ☆91Updated 2 years ago
- ☆42Updated last year
- Bayesian Bandits☆68Updated 2 years ago
- Utilities for probabilistic ML☆36Updated 2 years ago
- Machine Learning with Symbolic Tensors☆356Updated last month
- Tutorials and sampling algorithm comparisons☆79Updated this week
- Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen☆31Updated last year
- Uncertainty quantification with PyTorch☆379Updated last week
- My idiosyncratic notes on computational economics.☆66Updated 3 weeks ago
- NYU Artificial Intelligence Spring 2024☆61Updated last year
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆240Updated 5 months ago
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆70Updated 5 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆178Updated last year