Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
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Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
A collection of awesome .NET libraries, tools, frameworks and software
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
Collections of awesome neovim plugins.
[Example APPS] Basic Flutter apps, for flutter devs.
:honeybee: A collection of awesome .NET core libraries, tools, frameworks and software
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
DevOps Roadmap for 2026. with learning resources
CSS is powerful, you can do a lot of things without JS.
Contains Company Wise Questions sorted based on Frequency and all time
❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.
🛠️⚡ Step-by-step tutorial to build a modern JavaScript stack.
TranslatedA curated list of awesome things related to HarmonyOS. Huawei HarmonyOS operating system.
Translated🚀 Free subscription address, 🚀 Free node, 🚀 Updated every 6 hours, shared node, high-quality node availability, completely free. Free clash subscription address, free ss/v2ray/trojan node. Also: free firewall circumvention, free "scientific internet access", free ladder, Google store, firewall-circumvention ladder.
Setup instructions for Le Wagon's students on their first day of AI Software Development Bootcamp
TranslatedQiu Xipeng's "Neural Networks and Deep Learning" (神经网络与深度学习), Second Edition and General Edition: e-book, chapter table of contents, learning resources, and errata.
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A curated list of awesome applications, softwares, tools and shiny things for macOS.
An open source application built using the new router, server components and everything new in Next.js 13.
A collection of Flutter examples and demos
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API