ermongroup / cs228-notesLinks
Course notes for CS228: Probabilistic Graphical Models.
☆1,971Updated 4 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☆540Updated 5 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆832Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆891Updated last year
- Seminars DeepBayes Summer School 2018☆1,045Updated 6 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,837Updated last year
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆549Updated 2 years ago
- A collection of video resources for machine learning☆1,552Updated 4 years ago
- TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.☆850Updated last year
- Statistical Learning Theory (CS229T) Lecture Notes☆721Updated 5 years ago
- Probabilistic Modeling Toolkit for Matlab/Octave.☆1,570Updated 4 years ago
- Topics Course on Deep Learning UC Berkeley☆1,304Updated 7 years ago
- Various tutorials given for welcoming new students at MILA.☆986Updated 7 years ago
- Notebooks about Bayesian methods for machine learning☆1,899Updated last year
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆283Updated 6 years ago
- Python library for causal inference and probabilistic modeling.☆3,068Updated last week
- TensorLy: Tensor Learning in Python.☆1,636Updated 5 months ago
- My Own Solution Manual of PRML☆999Updated 4 years ago
- Learn about Machine Learning and Artificial Intelligence☆919Updated 3 years ago
- Course notes☆726Updated last year
- Experiments with Deep Learning☆1,353Updated 2 years ago
- A pedagogical implementation of Autograd☆997Updated 5 years ago
- Exercises for the Deep Learning textbook at www.deeplearningbook.org☆1,391Updated 3 years ago
- A curated list of resources dedicated to bayesian deep learning☆417Updated 8 years ago
- Tutorials and implementations for "Self-normalizing networks"☆1,587Updated 3 years ago
- Bayesian Data Analysis demos for Python☆1,026Updated last month
- disentanglement_lib is an open-source library for research on learning disentangled representations.☆1,413Updated 4 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,017Updated 7 years ago
- LaTeX files for the Deep Learning book notation☆1,817Updated 2 years ago
- Efficiently computes derivatives of NumPy code.☆7,373Updated last week
- A Course in Machine Learning☆903Updated 2 years ago