percyliang / cs229tLinks
Statistical Learning Theory (CS229T) Lecture Notes
☆717Updated 5 years ago
Alternatives and similar repositories for cs229t
Users that are interested in cs229t are comparing it to the libraries listed below
Sorting:
- Seminars DeepBayes Summer School 2018☆1,046Updated 5 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆544Updated 2 years ago
- Collaborative lecture notes for Spring '19 NYU DL class☆119Updated 5 years ago
- ☆260Updated 5 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆282Updated 6 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆276Updated 6 years ago
- Stanford CS229 (Autumn 2017)☆364Updated 7 years ago
- My solutions to Kevin Murphy Machine Learning Book☆538Updated 4 years ago
- Deep learning course CE7454, 2019☆190Updated 5 years ago
- Personal and biased selection of ML resources☆150Updated 5 years ago
- Various tutorials given for welcoming new students at MILA.☆985Updated 6 years ago
- I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my not…☆283Updated 5 years ago
- MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)☆179Updated 5 years ago
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,632Updated 4 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,952Updated last year
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- Bayesian Machine Learning☆207Updated 2 years ago
- A Chinese Notes of MLAPP,MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy☆364Updated 4 years ago
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)☆68Updated 5 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 5 years ago
- A curated list of resources dedicated to bayesian deep learning☆415Updated 8 years ago
- ☆90Updated 6 years ago
- Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.☆387Updated 5 years ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- ☆153Updated 4 years ago
- A curated list of Meta-Learning resources/papers.☆553Updated 4 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆160Updated 4 years ago
- Lecture notes on Bayesian deep learning☆484Updated 7 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆832Updated 5 years ago
- Attempting to make the Deep Learning Book easier to understand.☆1,080Updated 6 years ago