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
Automatically welcome first-time contributors on issues and pull requests
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!
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.
A curated guide to operating AI agents in production: observability, evaluation, tracing, guardrails, deployment, security, and incident response.
Spotlight for the first time contributors and mentors of FOSSIA
A curated map of agentic AI systems — covering architectures, frameworks, memory, evaluation, and safety. 🌟 Star if you like it!
A curated map of reinforcement learning for agents: systems that learn through interaction with environments, tools, APIs, users, other agents or the physical world.
A research map for learned social simulation engines: methods, tools, datasets, and evaluation practices for modelling bounded social systems under intervention.
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."