Phutoast / UCL-CSML-Notes
My lecture notes during times at UCL.
☆29Updated 3 years ago
Alternatives and similar repositories for UCL-CSML-Notes:
Users that are interested in UCL-CSML-Notes are comparing it to the libraries listed below
- Cheat sheets for UCL's 2018/19 machine learning modules☆61Updated 5 years ago
- My notes from class☆64Updated 6 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆147Updated last year
- For sharing purposes☆28Updated 11 months ago
- ☆61Updated 2 years ago
- ☆222Updated 2 years ago
- Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…☆26Updated 2 years ago
- UCL Module: Applied Deep Learning☆63Updated 2 months ago
- ☆46Updated 2 years ago
- ☆19Updated 3 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆130Updated 6 years ago
- ☆182Updated 2 years ago
- An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's cours…☆8Updated last year
- Solutions to Sutton and Barto book exercises☆68Updated last year
- Our teams's submission to the Datathon held at University of Waterloo, May 12 2018.☆21Updated 6 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆123Updated 6 months ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Materials of the Nordic Probabilistic AI School 2024.☆61Updated 8 months ago
- A curated list of awesome variational inference☆20Updated 4 years ago
- ☆12Updated 2 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Recommender systems in Python☆27Updated 2 months ago
- Lecture "A computational introduction to stochastic differential equations".☆18Updated 2 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆305Updated 3 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆166Updated 10 months ago
- Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.☆14Updated last month
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆872Updated 3 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆408Updated 3 years ago
- Lecture Notes and Projects of the MSc Data Science and Machine Learning programme at UCL.☆14Updated last year