Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Rust Course | 20,795 | 3 months ago | 59 | Rust | ||||||
“连续六年成为全世界最受喜爱的语言,无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容,甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程 / Book | ||||||||||
Awesome Artificial Intelligence | 8,777 | 3 months ago | 48 | |||||||
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. | ||||||||||
T81_558_deep_learning | 5,590 | 5 months ago | 3 | other | Jupyter Notebook | |||||
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis | ||||||||||
Practical_rl | 5,572 | 4 months ago | 40 | unlicense | Jupyter Notebook | |||||
A course in reinforcement learning in the wild | ||||||||||
Deep Learning Coursera | 5,253 | 5 years ago | 24 | mit | Jupyter Notebook | |||||
Deep Learning Specialization by Andrew Ng on Coursera. | ||||||||||
Deeplearning.ai Summary | 4,881 | a year ago | 13 | 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. | ||||||||||
Start Machine Learning | 4,062 | a month ago | mit | |||||||
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! | ||||||||||
Flutter Ui Nice | 3,650 | a year ago | 8 | Dart | ||||||
More than 130+ pages in this beautiful app and more than 45 developers has contributed to it. | ||||||||||
Awesome Ml Courses | 2,324 | a year ago | 3 | |||||||
Awesome free machine learning and AI courses with video lectures. | ||||||||||
Zero To Mastery Ml | 2,307 | 4 months ago | 14 | Jupyter Notebook | ||||||
All course materials for the Zero to Mastery Machine Learning and Data Science course. |