A curated list of awesome Hacktoberfest 2023 repositories, guides and resources
A curated list of Robotics + AI resources to learn, build, deploy, and stay current in Physical AI / Embodied AI. 🌟 Star if you like it!
Awesome-Prompt-Engineering - This repository includes resources for prompt engineering. 🌟 Star if you like it!
Welcome to our Hacktoberfest 2023 Beginner-Friendly Repository! 🎉 Are you eager to dive into the world of open source and contribute to meaningful projects? Look no further! This repository has been created with beginners in mind, offering a perfect opportunity to kickstart your open source journey.
A repository that will guide in making your first contribution.
A repository dedicated to showcasing and exploring the fascinating world of generative artificial intelligence. 🌟 Star if you like it!
Learn how to submit your first PR.
A Open Source Repository for First Time Contributor #Hacktoberfest
A curated collection of resources for building “AI Scientist” systems: AI that assists scientific discovery through literature intelligence, hypothesis generation, experiment planning, tool-use, evaluation, and scientific communication. 🌟 Star if you like it!
Automatically welcome first-time contributors on issues and pull requests
Enkokilish is a fun and educational trivia game built with React. Check the current progress here:
A collection of coding challenges designed for beginners to practice and improve their skills.
Repo for Hacktoberfest Contributions Made Easy.
This CLI tool offers a collection of useful scripts and commands for various tasks, all accessible through an intuitive and extensible interface for seamless integration into your workflows.
Spotlight for the first time contributors and mentors of FOSSIA
A curated guide to operating AI agents in production: observability, evaluation, tracing, guardrails, deployment, security, and incident response.
A curated map of agentic AI systems — covering architectures, frameworks, memory, evaluation, and safety. 🌟 Star if you like it!
A research map for learned social simulation engines: methods, tools, datasets, and evaluation practices for modelling bounded social systems under intervention.
A curated map of reinforcement learning for agents: systems that learn through interaction with environments, tools, APIs, users, other agents or the physical world.
Add a description, image, and links to the first-time-contributors topic page so that developers can more easily learn about it.
To associate your repository with the first-time-contributors topic, visit your repo's landing page and select "manage topics."