TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
- reinforcement-learning
- tutorial
- q-learning
- sarsa
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TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
A collection of machine learning examples and tutorials.
This repository has examples of broken patterns in ASP.NET Core applications
A resource for learning about Machine learning & Deep Learning
Go by Example
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A very simple toon lit shader example, for you to learn writing custom lit shader in Unity URP
Repo to learn Docker with examples. Contributions are most welcome.
TranslatedA tutorial and implement of disease centered Medical knowledge graph and qa system based on it. Knowledge graph construction, automatic question answering, KG-based automatic question answering. A medium-scale medical-domain knowledge graph centered on diseases, which is used to provide automatic question answering and analysis services.
Below are some simple methods for exiting vim.
Kubernetes application example tutorials
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
How to implement Stripe without going mad
TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
TensorFlow documentation
Simple tutorials using Google's TensorFlow Framework
Learn make by example
My understanding of Unreal Engine 5's GameplayAbilitySystem plugin with a simple multiplayer sample project.
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.
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Deep Learning Tutorial notes and code. See the wiki for more info.
Examples and Tutorials of Event Sourcing in .NET
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
‼️ A complete primer on the whys and hows of todo.txt.