ermongroup / cs228-notesLinks
Course notes for CS228: Probabilistic Graphical Models.
☆1,969Updated last month
Alternatives and similar repositories for cs228-notes
Users that are interested in cs228-notes are comparing it to the libraries listed below
Sorting:
- My solutions to Kevin Murphy Machine Learning Book☆541Updated 5 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆831Updated 5 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆547Updated 2 years ago
- Seminars DeepBayes Summer School 2018☆1,046Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- LaTeX files for the Deep Learning book notation☆1,788Updated 2 years ago
- Course notes☆708Updated last year
- A collection of video resources for machine learning☆1,550Updated 4 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆720Updated 5 years ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,563Updated 4 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,837Updated last year
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago
- Various tutorials given for welcoming new students at MILA.☆986Updated 7 years ago
- ☆812Updated 4 months ago
- Notebooks about Bayesian methods for machine learning☆1,877Updated last year
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆847Updated last year
- Python Library for Causal and Probabilistic Modeling using Bayesian Networks☆3,023Updated this week
- My Own Solution Manual of PRML☆989Updated 4 years ago
- A Course in Machine Learning☆902Updated 2 years ago
- A pedagogical implementation of Autograd☆988Updated 5 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆283Updated 6 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,005Updated 4 years ago
- Machine learning course materials.☆573Updated last year
- The Hitchiker's Guide to PyTorch☆1,197Updated 3 years ago
- Learn about Machine Learning and Artificial Intelligence☆918Updated 3 years ago
- Boltzmann Machines in TensorFlow with examples☆848Updated 3 years ago
- TensorLy: Tensor Learning in Python.☆1,618Updated 3 months ago
- Bayesian Data Analysis demos for Python☆1,015Updated last year
- Normalizing flows in PyTorch. Current intended use is education not production.☆876Updated 5 years ago
- A curated list of resources dedicated to bayesian deep learning☆416Updated 8 years ago