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☆80Updated 2 years ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆66Updated 6 years ago
- ☆85Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Probabilistic graphical models in python☆23Updated 6 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 6 years ago
- A Visual Exploration of Gaussian Processes☆102Updated 2 years ago
- ☆43Updated 4 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆185Updated last year
- Official documentation☆29Updated 4 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆33Updated 4 years ago
- Understanding nuts and bolts of neural networks with PyTorch☆33Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- The differentiable OSQP solver layer for PyTorch☆60Updated 2 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 7 months ago
- Dirichlet Process K-means☆48Updated 11 months ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago
- ☆53Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆86Updated last year
- List of resources for bayesian inference☆155Updated 5 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆92Updated 5 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆242Updated 3 months ago
- ☆168Updated 10 months ago
- Pytorch extension for Singular Value Decompostion (SVD) with LAPACK gesvd backend☆27Updated 5 years ago