Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Awesome Deep Learning | 20,409 | 15 days ago | 25 | |||||||
A curated list of awesome Deep Learning tutorials, projects and communities. | ||||||||||
Lectures | 14,554 | 6 years ago | 10 | |||||||
Oxford Deep NLP 2017 course | ||||||||||
Awesome Artificial Intelligence | 7,363 | 2 months ago | 39 | |||||||
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. | ||||||||||
Deep Learning Coursera | 5,253 | 4 years ago | 24 | mit | Jupyter Notebook | |||||
Deep Learning Specialization by Andrew Ng on Coursera. | ||||||||||
Practical_rl | 5,250 | a month ago | 40 | unlicense | Jupyter Notebook | |||||
A course in reinforcement learning in the wild | ||||||||||
T81_558_deep_learning | 5,225 | 15 days ago | 2 | other | Jupyter Notebook | |||||
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks | ||||||||||
Deeplearning.ai Summary | 4,492 | a year ago | 12 | mit | Python | |||||
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too. | ||||||||||
Tensorflow Deep Learning | 3,689 | 6 days ago | 32 | mit | Jupyter Notebook | |||||
All course materials for the Zero to Mastery Deep Learning with TensorFlow course. | ||||||||||
Start Machine Learning | 3,390 | 13 days ago | 3 | mit | ||||||
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2023 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! | ||||||||||
Awesome Ml Courses | 2,300 | a month ago | 1 | |||||||
Awesome free machine learning and AI courses with video lectures. |
Machine Learning Course Project Skoltech 2018
We implemented the Distral algorithm and replicated the results obtained in the recent Google DeepMind's paper: "Distral: Robust Multitask Reinforcement Learning"
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