ermongroup / cs228-notesLinks
Course notes for CS228: Probabilistic Graphical Models.
☆1,969Updated 2 months ago
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
- A collection of video resources for machine learning☆1,550Updated 4 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆548Updated 2 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆831Updated 5 years ago
- Seminars DeepBayes Summer School 2018☆1,046Updated 6 years ago
- Notebooks about Bayesian methods for machine learning☆1,893Updated last year
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- Various tutorials given for welcoming new students at MILA.☆987Updated 7 years ago
- My Own Solution Manual of PRML☆996Updated 4 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,835Updated last year
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆847Updated last year
- Learn about Machine Learning and Artificial Intelligence☆919Updated 3 years ago
- Course notes☆712Updated last year
- A Course in Machine Learning☆901Updated 2 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆283Updated 6 years ago
- Machine learning course materials.☆574Updated last year
- Statistical Learning Theory (CS229T) Lecture Notes☆720Updated 5 years ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,563Updated 4 years ago
- Topics Course on Deep Learning UC Berkeley☆1,303Updated 7 years ago
- ☆814Updated 5 months ago
- A pedagogical implementation of Autograd☆997Updated 5 years ago
- Python library for causal inference. Supports causal discovery, identification, effect estimation, prediction, and simulation with a scik…☆3,037Updated this week
- The Hitchiker's Guide to PyTorch☆1,198Updated 4 years ago
- Gaussian processes in TensorFlow☆1,890Updated 3 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,763Updated last week
- A curated list of resources dedicated to bayesian deep learning☆417Updated 8 years ago
- Experiments with Deep Learning☆1,351Updated 2 years ago
- LaTeX files for the Deep Learning book notation☆1,795Updated 2 years ago
- UCL MSc Computational Statistics and Machine Learning Revision Notes☆288Updated 7 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,018Updated 7 years ago