MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
Solutions to "Machine Learning: A Probabilistic Perspective"
☆158Updated 3 years ago
Alternatives and similar repositories for Solutions-to-Machine-Learning-A-Probabilistic-Perspective-:
Users that are interested in Solutions-to-Machine-Learning-A-Probabilistic-Perspective- are comparing it to the libraries listed below
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)☆68Updated 5 years ago
- ☆222Updated 2 years ago
- More PRML Errata☆80Updated 2 years ago
- Summer course on mathematical theory of deep learning☆52Updated 5 years ago
- My Own Solution Manual of PRML☆977Updated 3 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆92Updated 5 years ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆54Updated 4 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆274Updated 5 years ago
- ☆153Updated 4 years ago
- Paper Reading☆73Updated 6 years ago
- Repository for my convex optimization course.☆52Updated 4 years ago
- EE227C (Spring 2018) Course page☆223Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Collaborative lecture notes for Spring '19 NYU DL class☆117Updated 5 years ago
- Statistical Modeling and Methods | PKU 2020 Spring☆56Updated 2 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆118Updated 5 months ago
- 36-705 Intermediate Statistics, Fall 2017 - CMU Statistics☆39Updated 7 years ago
- Paper List For Linking ODE and Deep Learning☆245Updated 5 years ago
- The newest reading list for representation learning☆114Updated 3 years ago
- ☆259Updated 5 years ago
- The collection of recent papers about variational inference☆85Updated 5 years ago
- Personal and biased selection of ML resources☆148Updated 4 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 5 years ago
- Papers for Bayesian-NN☆318Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆75Updated 5 years ago
- ☆100Updated 3 years ago
- ☆46Updated 6 years ago
- Some example scripts on pytorch☆197Updated 3 years ago
- An introduction to variational Bayesian☆24Updated 6 years ago
- NTK reading group☆88Updated 5 years ago