tommyod / lml
Notes and solutions for learning machine learning.
☆33Updated last year
Alternatives and similar repositories for lml:
Users that are interested in lml are comparing it to the libraries listed below
- Material for my course: Optimization in Machine Learning☆31Updated 3 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆76Updated 6 years ago
- Understanding nuts and bolts of neural networks with PyTorch☆32Updated 4 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 6 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆274Updated 5 years ago
- Learning some numerical linear algebra.☆71Updated 4 years ago
- Graph Theory Algorithm is implemented in python. Jupyter Notebook is used to demonstrate the concept and Networkx library is used in seve…☆25Updated 6 years ago
- ☆78Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- ☆31Updated 4 years ago
- More PRML Errata☆80Updated 2 years ago
- Curated materials for different machine learning related summer schools☆19Updated 3 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆43Updated 5 years ago
- ☆3Updated 6 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆92Updated 5 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…☆54Updated 4 years ago
- Exploring Bayesian Optimization☆73Updated 3 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆99Updated 3 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Signal processing on graphs using torch_geometric.☆14Updated 2 years ago
- Lectures for INFO8002 - Large-scale Data Systems, ULiège☆64Updated 2 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2019.☆67Updated 5 years ago
- A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version)☆15Updated 4 years ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆54Updated 4 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆108Updated last week
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆265Updated 4 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆33Updated 7 years ago