ermongroup / cs228-notesLinks
Course notes for CS228: Probabilistic Graphical Models.
☆1,992Updated 7 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☆542Updated 5 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆834Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894Updated last year
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆547Updated 2 years ago
- Seminars DeepBayes Summer School 2018☆1,047Updated 6 years ago
- Various tutorials given for welcoming new students at MILA.☆984Updated 7 years ago
- Course notes☆740Updated last year
- A collection of video resources for machine learning☆1,555Updated 5 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,840Updated last year
- Notebooks about Bayesian methods for machine learning☆1,912Updated last year
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,572Updated 4 years ago
- My Own Solution Manual of PRML☆1,002Updated 4 years ago
- Topics Course on Deep Learning UC Berkeley☆1,305Updated 8 years ago
- A Course in Machine Learning☆909Updated 2 years ago
- Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)☆1,183Updated last year
- A pedagogical implementation of Autograd☆1,012Updated 5 years ago
- LaTeX files for the Deep Learning book notation☆1,851Updated 2 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆289Updated 6 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,824Updated last week
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆860Updated last year
- ☆828Updated 10 months ago
- Experiments with Deep Learning☆1,352Updated 2 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,017Updated 7 years ago
- Gaussian processes in TensorFlow☆1,901Updated 8 months ago
- Machine learning course materials.☆578Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,371Updated last year
- Boltzmann Machines in TensorFlow with examples☆852Updated 4 years ago
- Probabilistic Machine Learning: Advanced Topics☆1,518Updated 2 months ago
- The probability and statistics cookbook☆2,295Updated 2 years ago
- Exercises for the Deep Learning textbook at www.deeplearningbook.org☆1,415Updated 3 years ago