Phutoast / UCL-CSML-NotesLinks
My lecture notes during times at UCL.
☆31Updated 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
Sorting:
- Cheat sheets for UCL's 2018/19 machine learning modules☆63Updated 6 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆132Updated 9 months ago
- ☆18Updated 3 years ago
- ☆227Updated 2 years ago
- Lecture Notes and Projects of the MSc Data Science and Machine Learning programme at UCL.☆19Updated 2 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆160Updated last year
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆48Updated 5 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
- ☆12Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated last year
- ☆185Updated 2 years ago
- Stanford CS234 : Reinforcement Learning☆147Updated 5 years ago
- Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.☆14Updated 4 months ago
- My notes from class☆67Updated 7 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
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆121Updated 6 years ago
- Solution and Useful Links☆53Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Solutions to Sutton and Barto book exercises☆79Updated last year
- Lecture "A computational introduction to stochastic differential equations".☆20Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆204Updated last year
- Jupyter notebooks on inference, regression and classification for MPhil students☆48Updated 7 months ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆307Updated 3 years ago
- ☆62Updated 2 years ago
- Course notes☆693Updated last year
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆141Updated 6 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated last year
- In this repository, I place my solution for the exercises in multiple famous math textbooks, including Stochastic Differential Equation, …☆13Updated last year