ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printingLinks
Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
☆68Updated 5 years ago
Alternatives and similar repositories for Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
Users that are interested in Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing are comparing it to the libraries listed below
Sorting:
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- More PRML Errata☆80Updated 2 years ago
- ☆260Updated 6 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆278Updated 6 years ago
- ☆275Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆162Updated 4 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago
- Personal and biased selection of ML resources☆150Updated 5 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Materials for Bayesian Methods in Machine Learning Course☆90Updated this week
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆283Updated 6 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- Wasserstein / earth mover's distance visualizations☆66Updated 8 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆720Updated 5 years ago
- Deep learning course CE7454, 2018☆79Updated 5 years ago
- Variational inference for Gaussian mixture models☆36Updated 11 years ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- RBM in Pytorch☆58Updated 8 years ago
- Collaborative lecture notes for Spring '19 NYU DL class☆119Updated 5 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆71Updated 6 years ago
- Proceedings of ICML 2018☆39Updated 2 years ago
- STATS385 course website☆89Updated 2 years ago
- ☆40Updated 8 years ago
- Restricted Boltzmann Machine for collaborative filtering of movies.☆41Updated 6 years ago
- Some example scripts on pytorch☆198Updated 3 years ago