Crack LeetCode, not only how, but also why.
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In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Translated"Source Code for the Simplest Spring Cloud Tutorial Ever"
- spring-cloud
- spring-boot
- hystrix
- finchley
Community guide to using YubiKey for GnuPG and SSH - protect secrets with hardware crypto.
- yubikey
- gpg
- gnupg
- ssh
TranslatedSpring Cloud basic tutorial, continuously being serialized and updated
- spring-cloud
- spring-boot
- nacos
- sentinel
Translated:fire: This repository mainly contains introductory Spring Boot learning tutorials and some commonly used Spring Boot practical project tutorials, including various example code for using Spring Boot, as well as the source code and demos of some practical projects. The practical projects include basic web development and the online blog projects / large enterprise mall systems / front-end and back-end separation practice projects that are widely used today, freeing you from the constraints of all kinds of hello world introductory examples so you can truly master Spring Boot development.
- spring-boot
- mybatis
- java
- spring-boot-thymeleaf
Video+code lecture on building nanoGPT from scratch
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 complete primer on the whys and hows of todo.txt.
- todo
- todotxt
- todos
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
Vue.js + Rails Starting Kit GitHub Template to develop Hybrid Mobile Application: https://vuejs-rails-starterkit.herokuapp.com
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
- hyperopt
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameters-optimization