tommyod / lmlLinks
Notes and solutions for learning machine learning.
☆35Updated 2 years ago
Alternatives and similar repositories for lml
Users that are interested in lml are comparing it to the libraries listed below
Sorting:
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- An implementation of convolutional networks in NumPy!☆83Updated 4 years ago
- ☆10Updated 9 years ago
- Material for my course: Optimization in Machine Learning☆32Updated 4 years ago
- Deep learning and natural language processing tutorial in PyTorch☆23Updated 7 years ago
- ☆89Updated 2 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆116Updated 9 months ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- More PRML Errata☆81Updated 3 years ago
- Python implementations (on jupyter notebook) of algorithms described in the book "PRML"☆259Updated 4 years ago
- Deep learning course CE7454, 2018☆79Updated 6 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 3 months ago
- Automatically Generated Notebooks for Colab☆39Updated 2 years ago
- Books with Jupyter notebooks☆260Updated 2 years ago
- ☆31Updated 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…☆26Updated 7 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18☆52Updated 7 years ago
- PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization☆155Updated 5 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2019.☆69Updated 5 years ago
- Statistics and Machine Learning in Python☆71Updated 5 years ago
- Exploring Bayesian Optimization☆76Updated 4 years ago
- Deep learning course CE7454, 2019☆191Updated 6 years ago
- Learning some numerical linear algebra.☆72Updated 5 years ago
- ☆53Updated 5 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 6 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆297Updated 5 years ago
- Lectures for INFO8002 - Large-scale Data Systems, ULiège☆67Updated 3 years ago