florist-notes / CS228_PGM
🌲 Stanford CS 228 - Probabilistic Graphical Models
☆129Updated 8 months ago
Alternatives and similar repositories for CS228_PGM:
Users that are interested in CS228_PGM are comparing it to the libraries listed below
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- ☆223Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆84Updated 6 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆152Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆241Updated 2 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆177Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated 11 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆215Updated 6 months ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆176Updated 4 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆102Updated last year
- ☆184Updated 2 years ago
- A curated list of awesome variational inference☆22Updated 4 years ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- ☆66Updated 6 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆34Updated 7 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆293Updated last year
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆48Updated 5 years ago
- ☆166Updated 9 months ago
- 🦍 Stanford CS236 : Deep Generative Models☆134Updated 6 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆202Updated last year
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- Causal Variational AutoEncoders☆28Updated 5 years ago
- ☆49Updated last year
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆239Updated 2 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆91Updated 5 years ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago