rohinarora / EECE5644-Machine_LearningLinks
Graduate course on Machine Learning
☆125Updated 6 years ago
Alternatives and similar repositories for EECE5644-Machine_Learning
Users that are interested in EECE5644-Machine_Learning are comparing it to the libraries listed below
Sorting:
- My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867☆345Updated last year
- A collection of awesome mathematics and computer science courses☆138Updated 11 months ago
- [Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"☆255Updated 5 years ago
- Cheatsheet collection for Math, ML, DL, AI. Update frequently☆182Updated 3 years ago
- ☆116Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.☆427Updated 8 months ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 years ago
- CS7015: Deep learning, IIT Madras. This repository contains code for all the assignments completed as a part of the course CS7015 Deep Le…☆34Updated 6 years ago
- A Great Collection of Deep Learning (e)Books☆164Updated last year
- Books for machine learning, deep learning, math, NLP, CV, RL, etc☆288Updated 4 years ago
- List of Computer Science courses with video lectures.☆27Updated 3 years ago
- ☆84Updated 4 years ago
- .pdf Format Books for Machine and Deep Learning☆253Updated 7 years ago
- Official Repo for Deep Learning for Compyter Vision Course offered by NPTEL☆37Updated 2 years ago
- Stanford CS234 : Reinforcement Learning☆172Updated 6 years ago
- Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew …☆35Updated 4 months ago
- Deep Learning by deeplearning.ai | The Deep Learning Specialization is a foundational program that will help you understand the capabilit…☆117Updated 5 years ago
- This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This not…☆49Updated 4 years ago
- A course on Linear Algebra using Python in Jupyter notebooks☆47Updated 2 years ago
- A curated list of FREE courses available online from top universities of the world on CS-DS-ML!☆199Updated last year
- My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller☆252Updated 6 years ago
- VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers☆255Updated 5 years ago
- Stanford CS234: Reinforcement Learning assignments and practices☆62Updated last year
- "Information contains an almost mystical power of free flow and self replication, just as water seeks it's own level or sparks fly upward…☆88Updated 2 years ago
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆94Updated 9 months ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆197Updated 2 years ago
- My solutions to Stanford CS221 (Artificial Intelligence) homework code problems☆28Updated 5 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedu…☆224Updated 3 years ago