ArthurZC23 / Machine-Learning-A-Probabilistic-Perspective-SolutionsLinks
My solutions to Kevin Murphy Machine Learning Book
β541Updated 5 years ago
Alternatives and similar repositories for Machine-Learning-A-Probabilistic-Perspective-Solutions
Users that are interested in Machine-Learning-A-Probabilistic-Perspective-Solutions are comparing it to the libraries listed below
Sorting:
- Topics course Mathematics of Deep Learning, NYU, Spring 18β548Updated 2 years ago
- π₯οΈ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaignβ285Updated 6 years ago
- Statistical Learning Theory (CS229T) Lecture Notesβ722Updated 6 years ago
- My Own Solution Manual of PRMLβ1,001Updated 4 years ago
- Course notes for CS228: Probabilistic Graphical Models.β1,986Updated 6 months ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19β278Updated 6 years ago
- UCL MSc Computational Statistics and Machine Learning Revision Notesβ289Updated 7 years ago
- Practical assignments of the Deep|Bayes summer school 2019β833Updated 5 years ago
- Machine learning course materials.β577Updated 2 years ago
- Seminars DeepBayes Summer School 2018β1,047Updated 6 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frieβ¦β293Updated 7 years ago
- β260Updated 6 years ago
- Various tutorials given for welcoming new students at MILA.β986Updated 7 years ago
- Personal and biased selection of ML resourcesβ151Updated 5 years ago
- A curated list of resources dedicated to bayesian deep learningβ417Updated 8 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"β164Updated 4 years ago
- Practical Exercise Codes for PyTorchβ273Updated 7 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning courseβ265Updated 6 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS programβ279Updated 7 years ago
- Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)β291Updated 12 years ago
- Collection of probabilistic models and inference algorithmsβ240Updated 5 years ago
- EE227C (Spring 2018) Course pageβ228Updated 4 years ago
- β826Updated 8 months ago
- Learn about Machine Learning and Artificial Intelligenceβ923Updated 3 years ago
- The Hitchiker's Guide to PyTorchβ1,199Updated 4 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorchβ894Updated last year
- I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notβ¦β285Updated 6 years ago
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)β68Updated 5 years ago
- PyTorch Tutorial (1.7)β457Updated 5 years ago
- π Stanford CS 228 - Probabilistic Graphical Modelsβ122Updated 6 years ago