🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
TranslatedLearn step by step: Spring Boot, Spring Boot & Shiro, Spring Batch, Spring Cloud, Spring Cloud Alibaba, Spring Security & Spring Security OAuth2. Source code for the blog's Spring series: https://mrbird.cc
🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.
:mortar_board: All things Vim!
Translated"Source Code for the Simplest Spring Cloud Tutorial Ever"
TranslatedWTF Solidity minimalist introductory tutorial, for beginners. Now supports English! Official website: https://wtf.academy
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
A resource for learning about Machine learning & Deep Learning
- pytorch
- pytorch-implementation
- pytorch-tutorial
- pytorch-gan
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
Terrain rendering algorithm in less than 20 lines of code
- rendering-algorithms
- voxel-space-engine
- game-comanche
- comanche
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
- tensorflow-examples
- tensorflow-tutorials
- tensorflow-2
My understanding of Unreal Engine 5's GameplayAbilitySystem plugin with a simple multiplayer sample project.
Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.
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.
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Translated:honeybee: IoT Technical Guide --- Building a high-performance IoT platform and IoT solutions from scratch, and source code analysis of Thingsboard :sparkles: :sparkles: :sparkles: (IoT Platform, SaaS, MQTT, CoAP, HTTP, Modbus, OPC, WebSocket, Thing Model, Protobuf, PostgreSQL, MongoDB, Spring Security, OAuth2, RuleEngine, Kafka, Docker)
A step-by-step introduction to making games and interactive media with the Pixi.js rendering engine.
TranslatedTensorflow tutorial from basic to hard, 莫烦Python (Mo Fan Python, "Morvan Python") Chinese AI teaching
- tensorflow
- tensorflow-tutorials
- gan
- generative-adversarial-network
TranslatedCNN-RNN Chinese text classification, based on TensorFlow
Translated[Mini Program] IDE + crack + Demo
Everything you need to know to build your own RAG application
Writing AI Conference Papers: A Handbook for Beginners
Learning FPGA, yosys, nextpnr, and RISC-V
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.