A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows.
- cypress
- testing
- testing-practices
- end-to-end-testing
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A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows.
Lista de eventos tech que acontecem no Brasil
A curated list of recent diffusion models for video generation, editing, and various other applications.
common data analysis and machine learning tasks using python
AI Agent Deep Dive
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Implement a reasoning LLM in PyTorch from scratch, step by step
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Docker Mastery Udemy course to build, compose, deploy, and manage containers from local development to high-availability in the cloud
All the open source AI Agents hosted on the oTTomator Live Agent Studio platform!
🔥 Awesome list of resources on Web Development.
A curated list of awesome infosec courses and training resources.
Implementation of a bulletproof node.js API 🛡️
A beginner's guide to setting up a development environment on macOS
TranslatedA security knowledge framework maintained by the ffffffff0x team, with content including but not limited to web security, industrial control security, forensics, incident response, blue team infrastructure deployment, post-exploitation, Linux security, and writeups for various vulnerable machines
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A collection of interesting new networks and tech aiming at decentralisation (in some form).
You don't need an animation library to add a simple effect to your SwiftUI app. Create it yourself with SwiftUI. This repo inspires you to add helpful and expressive SwiftUI animations like loading/progress, looping, on-off, enter, exit, fade, spin, and background animations to your next project. The repo also contains tremendous spring animations.
Penetration Testing Reference Bank - OSCP / PTP & PTX Cheatsheet
:art: A curated contents of amazing CSS :)
TranslatedAwesome Pretrained Chinese NLP Models, a collection of high-quality Chinese pretrained models, large models, multimodal models, and large language models
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.
TranslatedStudy Notes For Web Hacking / Web Security Study Notes
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.