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cheat allows you to create and view interactive cheatsheets on the command-line. It was designed to help remind *nix system administrators of options for commands that they use frequently, but not frequently enough to remember.
Community guide to using YubiKey for GnuPG and SSH - protect secrets with hardware crypto.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Make changes to FMHY
Translatedcvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 collection of papers/code/interpretations/live streams, compiled by the 极市 (Jishi, "Extreme Mart") team
An educational resource to help anyone learn deep reinforcement learning.
PRML algorithms implemented in Python
TranslatedA project to localize the MIT open video course "Structure and Interpretation of Computer Programs" into Chinese, and a collection of course study materials.
Minimal and clean examples of machine learning algorithms implementations
🖥 Delightful Hyper plugins, themes, and resources
A reference .NET application implementing an eCommerce site
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
How to pass the Node.js interview of ElemeFE.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Reinforcement learning resources curated
A Collection of Awesome Jellyfin Plugins, Themes, Guides and More!
TensorFlow Tutorials with YouTube Videos
A Collection on all Jetpack compose UI elements, Layouts, Widgets and Demo screens to see it's potential
A course in reinforcement learning in the wild
Implements a deep pretty printer for Go data structures to aid in debugging
Book of Elementary Functional Algorithms and Data structures
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of product management advice for technical people.