qobi / ece57000
Course material for Purdue ECE57000 Artificial Intelligence
☆17Updated 5 years ago
Related projects: ⓘ
- MIT 6.046: Introduction to Algorithm Design code implementations☆18Updated last year
- This is the home of the Hands on Deep Learning Tutorial of the Lecture Computational Intelligence @KIT☆15Updated 6 months ago
- Deep learning lecture☆11Updated 3 years ago
- Course materials for the Coursera MOOC: Digital Signal Processing from Ecole Polytechnique Federale de Lausanne☆45Updated 6 years ago
- Personal implementation for Stanford CS231n / Umich: Deep Learning for Computer Vision (by Justin Johnson)☆67Updated 4 years ago
- Homework solutions of Intro to ML course at MIT Spring 2018☆7Updated 6 years ago
- 记录斯坦福公开课EE263的学习资料以及笔记。☆12Updated 5 years ago
- I took Math for Intelligent System COT5615 in fall 2018 offered by University of Florida. In this repo I am sharing the assignments, lect…☆16Updated 5 years ago
- Learn to code deep learning algorithms☆12Updated 5 years ago
- 整理的一些书籍和源码，集合到一起，要看或者有需要的时候就不用再找了🙃☆17Updated 5 years ago
- ☆13Updated 6 years ago
- Course material for Cornell CS 6241, Spring 21☆10Updated 3 years ago
- Projects of Advanced Machine Learning, ETH Zürich, Fall 2018☆9Updated 5 years ago
- Lecture notes on digital signal processing☆37Updated 4 years ago
- ☆20Updated this week
- Notebook with implementation and visualization of Gaussian Mixtures and the EM Algorithm☆12Updated 6 years ago
- Notes and solutions for learning machine learning.☆29Updated 11 months ago
- This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Im…☆34Updated 6 years ago
- Linear Algebra Fundamentals for Machine Learning☆43Updated 5 years ago
- 香港科技大学 凸优化☆31Updated 4 years ago
- Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we a…☆40Updated 9 years ago
- my lecture notes of cs231n of Andrej Karpathy☆22Updated last year
- This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a se…☆34Updated last year
- An open source Linear Algebra textbook by Peter Selinger, based on the original text by Lyryx Learning and Ken Kuttler.☆16Updated last year
- repo for CMU course - Machine Learning in Practice☆11Updated 4 months ago
- My Masters of Applied Statistics Courses☆16Updated 7 years ago
- Undergraduate numerical analysis, first semester, APPM 4650. University of Colorado Boulder☆13Updated 2 years ago
- Methods for designing systems that learn from data and improve with experience. Supervised learning and predictive modeling: decision tre…☆8Updated 5 years ago
- Course Material for my course Linear Algebra 2 (in french)☆11Updated 3 months ago
- ☆13Updated 4 years ago