shiernee / Advanced_MLLinks
☆83Updated 2 years ago
Alternatives and similar repositories for Advanced_ML
Users that are interested in Advanced_ML are comparing it to the libraries listed below
Sorting:
- Notebooks for "Probabilistic Machine Learning" book☆203Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆88Updated 6 years ago
- Utilities for probabilistic ML☆36Updated last year
- Repository for ML in Practice Course at CMU (10-718)☆64Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- ☆188Updated 2 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆170Updated last year
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- Course material for 1RT700 Statistical Machine Learning☆63Updated 6 months ago
- Interactive textbook on state-space models☆196Updated last year
- Bayesian Bandits☆68Updated last year
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 4 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆68Updated 8 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Code related to different aspects of conformal learning☆16Updated 6 months ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆152Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆136Updated 11 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated last year
- Code associated with my Interpretable AI Book (https://www.manning.com/books/interpretable-ai)☆62Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- Neat Bayesian machine learning examples☆58Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 7 months ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆210Updated last year
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Representation Learning MSc course Summer Semester 2023☆81Updated 2 years ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆220Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆177Updated 4 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago