Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Courses, books, tutorials, paper collections and curated awesome lists.
Signals: awesome, awesome-list, tutorial, course, learning, roadmap, papers, book
1,912 results
基础的深度学习实验研究结果汇总笔记
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)
Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
A curated list of deep learning resources for video-text retrieval.
Must-read papers and resources related to causal inference and machine (deep) learning
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
Minimal and annotated implementations of key ideas from modern deep learning research.
Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Deep Learning Interview 深度学习面试题目汇总
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
Light your way in Deep Learning with Torch 🔦
A curated list of awesome deep learning applications in the field of computational biology
A list of awesome compiler projects and papers for tensor computation and deep learning.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
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