sailinglab / pgm-spring-2019Links
Course webpage for PGM, Spring 2019.
☆76Updated 4 years ago
Alternatives and similar repositories for pgm-spring-2019
Users that are interested in pgm-spring-2019 are comparing it to the libraries listed below
Sorting:
- More PRML Errata☆81Updated 3 years ago
- A Visual Exploration of Gaussian Processes☆106Updated 2 years ago
- Interactive visualization of Gaussian processes☆172Updated 2 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆187Updated 2 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆45Updated 6 years ago
- Various packages used by PMTK.☆56Updated 6 years ago
- The differentiable OSQP solver layer for PyTorch☆64Updated 2 years ago
- ☆260Updated 6 years ago
- ☆85Updated 4 years ago
- Understanding ML and deep learning through geometry☆157Updated 3 years ago
- Dirichlet Process K-means☆48Updated last year
- Repository for my convex optimization course.☆53Updated 4 years ago
- factor graph library☆69Updated 6 years ago
- ☆53Updated 5 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Official documentation☆31Updated 4 years ago
- Bayesian Filtering & Smoothing demos☆19Updated 5 years ago
- EE227C (Spring 2018) Course page☆225Updated 4 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆68Updated 6 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆33Updated 5 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- AA120Q Course Materials☆29Updated 9 months ago
- Basic Gaussian process regression library. (Eigen3 required)☆26Updated 10 years ago
- List of resources for bayesian inference☆157Updated 6 years ago
- Probabilistic graphical models in python☆24Updated 6 years ago
- Infinite-horizon Gaussian processes☆33Updated 5 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 7 years ago
- Pytorch extension for Singular Value Decompostion (SVD) with LAPACK gesvd backend☆27Updated 5 years ago
- Python implementation of Sum-Product for Factor Graphs☆44Updated 9 years ago