🖥 Delightful Hyper plugins, themes, and resources
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🖥 Delightful Hyper plugins, themes, and resources
Class materials for a distributed systems lecture series
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
Un blog increíble para el curso de Git y Github de Platzi
C++ Primer 5 answers
TranslatedSpring Cloud basic tutorial, continuously being serialized and updated
In-depth guide to the best open-source typefaces: https://www.beautifulwebtype.com
For when people get too hyped up about things
A curated list of cryptography resources and links.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
TranslatedCourse slides and assignments for Hung-yi Lee's (李宏毅) 2021/2022/2023 Spring Machine Learning courses
Introduce technologies on blockchain and distributed ledger, from theory to practice with bitcoin, ethereum and hyperledger.
TranslatedNode.js study notes and summary of experience, WeChat official account "程序猿小卡" (Chengxuyuan Xiaoka, "Programmer Xiao Ka")
A maintained collection of useful & free unity scripts / library's / plugins and extensions
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
TranslatedSpring Cloud learning examples: service discovery, service governance, distributed tracing, service monitoring, and more
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.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
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.
Awesome list for Hyprland [maintainer=@yavko]
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
TranslatedRUN · 润 (Run, "to slip away; to emigrate"): A handbook for overseas relocation for Chinese passport holders. 110 immigration routes across 36 European countries + 13 major immigration regions: digital nomad visas, EU Blue Card, skilled migration, study-to-work, entrepreneurship and self-employment, investment residency, each with official sources, continuously updated.