shiernee / Advanced_ML
☆76Updated last year
Alternatives and similar repositories for Advanced_ML:
Users that are interested in Advanced_ML are comparing it to the libraries listed below
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆143Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆75Updated 6 years ago
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆46Updated 2 years ago
- Interactive textbook on state-space models☆181Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆128Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆85Updated last year
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆63Updated 2 months ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆124Updated last year
- Introduction to Gaussian Processes☆27Updated 6 years ago
- ☆14Updated 4 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆118Updated 5 months ago
- Repository for my convex optimization course.☆52Updated 3 years ago
- Representation Learning MSc course Summer Semester 2023☆73Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆80Updated 10 months ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆83Updated 2 years ago
- Utilities for probabilistic ML☆33Updated last year
- STATS305C: Applied Statistics III (Spring, 2023)☆23Updated last year
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆175Updated 3 years ago
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆37Updated 6 years ago
- ☆216Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆164Updated 8 months ago
- Some small scale experiments for my blog posts 📝☆78Updated 2 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆24Updated 4 years ago
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆64Updated 5 years ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆145Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆172Updated 2 years ago
- Statistics and Machine Learning in Python☆67Updated 4 years ago
- legend☆198Updated last year
- Benchmark time series data sets for PyTorch☆34Updated 11 months ago