xbresson / CS4243_2022
Computer Vision and Pattern Recognition, NUS CS4243, 2022
☆169Updated 3 years ago
Alternatives and similar repositories for CS4243_2022:
Users that are interested in CS4243_2022 are comparing it to the libraries listed below
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆324Updated last year
- Neural Networks and Deep Learning, NUS CS5242, 2021☆190Updated 3 years ago
- Example of a Cover letter for AI Residency☆80Updated 5 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆176Updated 4 years ago
- All about the fundamental blocks of TF and JAX!☆274Updated 3 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆152Updated last year
- AI Summer's complete catalog of articles☆110Updated 3 years ago
- ☆59Updated 3 years ago
- Hands-on tutorials at EEML2022 summer school☆63Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- A repo for holding example code☆155Updated 2 weeks ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆84Updated 6 years ago
- Template for data generator with PyTorch☆133Updated 6 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 5 months ago
- Host repository for the "Reproducible Deep Learning" PhD course☆406Updated 3 years ago
- The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…☆725Updated last year
- Course notes☆684Updated last year
- ☆78Updated 2 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆114Updated 3 years ago
- Representation Learning MSc course Summer Semester 2023☆77Updated last year
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆154Updated 9 months ago
- Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch☆131Updated 3 years ago
- ☆149Updated 3 years ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated 10 months ago
- Free hands-on course about Graph Neural Networks using PyTorch Geometric.☆358Updated last year
- Notebooks for the Practicals at the Deep Learning Indaba 2022.☆175Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆177Updated 2 years ago
- Implementation of the paper on Fast Super Resolution CNN☆39Updated 3 years ago
- here you can find the material used for our Tutorials☆100Updated 3 years ago