mackelab / machine-learning-ILinks
Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.
☆30Updated 9 years ago
Alternatives and similar repositories for machine-learning-I
Users that are interested in machine-learning-I are comparing it to the libraries listed below
Sorting:
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 7 years ago
- Python 3.7 version of David Barber's MATLAB BRMLtoolbox☆25Updated 7 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- 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 5 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- Worked examples about manifold learning using sklearn and jupyter☆51Updated 6 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 4 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆68Updated 6 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆113Updated 6 months ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆91Updated 7 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- notes on ML/CS/etc articles☆47Updated 5 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆135Updated 5 years ago
- Materials for Bayesian Methods in Machine Learning Course☆90Updated this week
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 3 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…☆18Updated 7 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- ☆275Updated 5 years ago
- ☆30Updated 5 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆35Updated 8 years ago
- Deep learning course CE7454, 2018☆79Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago