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A curated collection of tutorials, examples, and tools for generative AI. Dive into a variety of resources, from practical examples and comprehensive guides to trending projects and innovative tools, to enhance your understanding and skills in generative AI.

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Awesome Generative AI

A curated list of resources for generative AI. This includes tutorials, examples, and tools to help you learn and build generative AI models.

Resource Description
Kaggle Notebooks 🌟 Kaggle: Access a vast collection of datasets, notebooks, and models. Compete in competitions and collaborate with a community of data scientists to enhance your skills.
Hugging Face Spaces 🤗 Hugging Face Spaces: Discover papers, models, and interactive spaces for natural language processing. Share and deploy your own models with the community.
Streamlit Gallery 📊 Streamlit Gallery: Explore a variety of beautiful web apps built with Streamlit. Learn how to create interactive data applications with ease.
LangChain Cookbooks 📖 LangChain Cookbook: Find recipes and examples to get started with LangChain. Learn how to build and deploy language models effectively.
LangGraph Examples 🔍 LangGraph Examples: Dive into examples that showcase the capabilities of LangGraph. Understand how to integrate graph-based learning with language models.
LangChain How-to Guides 🛠️ LangChain How-to Guides: Detailed step-by-step guides for using LangChain in various applications. Perfect for beginners and advanced users alike.
Pinecone Examples 🌲 Pinecone Examples: Practical examples demonstrating how to use Pinecone's vector database for building scalable and fast similarity search applications.
Trending on GitHub 🔥 Trending on GitHub: Stay updated with the most popular repositories in Python and large language model (LLM) topics. Discover new projects and ideas.
Future Tools 🚀 Future Tools: A comprehensive directory of tools and resources that are shaping the future of AI and technology. Find the latest innovations and trends.
There's an AI for That 🤖 There's an AI for That: An extensive directory of AI tools categorized by their applications. Easily find AI solutions for various tasks.
Awesome LLMOps ⚙️ Awesome LLMOps: A curated list of resources for managing and optimizing large language models. Learn best practices for deployment and maintenance.
Best AI Knowledge Repositories 🧠 Best AI Knowledge Repositories: A collection of the best repositories for AI knowledge and research. Ideal for students and professionals looking to deepen their understanding.
Papers with Code 📄 Papers with Code: Access state-of-the-art AI research papers with code implementations. Perfect for researchers and practitioners looking to replicate and build upon cutting-edge work.
Awesome LangChain 🏆 Awesome LangChain: A curated list of resources, tools, and tutorials for LangChain. Stay up-to-date with the latest developments and community projects.
Awesome Python Data Science 📊 Awesome Python Data Science: A curated list of Python libraries and resources for data science. Enhance your data analysis and machine learning skills.
LLM Course 🎓 LLM Course: Comprehensive course materials for learning about large language models. Includes lectures, assignments, and project ideas.
LLMs from Scratch 🛠️ LLMs from Scratch: Learn how to build large language models from scratch. Understand the fundamentals and implementation details.
ZenML Projects 🧘 ZenML Projects: Example projects using ZenML to streamline your machine learning workflows. Learn how to integrate ZenML into your ML pipelines.
Ashish Patel's Projects 💡 Ashish Patel's Projects: Explore a wide range of AI and ML projects listed by Ashish Patel. Includes projects on machine learning, deep learning, computer vision, and NLP with code.
LlamaIndex Examples 🦙 LlamaIndex Examples: Examples demonstrating how to use LlamaIndex for efficient information retrieval and indexing.
CrewAI Examples 👥 CrewAI Examples: Practical examples for using CrewAI to enhance team collaboration and productivity in AI projects.
JY Chia's Blog ✍️ JY Chia's Blog: Insightful blog posts about AI, machine learning, and data science. Gain practical tips and knowledge from an experienced professional.
DataCamp Cheat Sheets 📑 DataCamp Cheat Sheets: Handy cheat sheets for data science and AI concepts. Perfect for quick reference and revision.
Qdrant Documentation Examples 📚 Qdrant Documentation Examples: Examples for using Qdrant's vector search capabilities. Learn how to build and deploy vector search applications.
MLflow Examples 💧 MLflow Examples: Practical examples for using MLflow to manage your machine learning experiments.
Comet Examples ☄️ Comet Examples: Examples for using Comet to track, compare, and optimize your machine learning experiments.
W&B Examples 🏋️ Weights & Biases Examples: Examples for using Weights & Biases to enhance your ML experiments with tracking, visualization, and collaboration tools.
Prefect Recipes 🥘 Prefect Recipes: Recipes and examples for using Prefect to orchestrate and manage your data workflows.
Pachyderm Examples 🐘 Pachyderm Examples: Examples for using Pachyderm to version and manage your data science pipelines.
Amazon SageMaker Examples ☁️ Amazon SageMaker Examples: Practical examples for using Amazon SageMaker to build, train, and deploy machine learning models at scale.
Microsoft Autogen Notebooks 📓 Microsoft Autogen Notebooks: Notebooks for using Microsoft Autogen to automate the generation of synthetic data and models.
Haystack Tutorials 🥇 Haystack Tutorials: Tutorials for using Haystack to build powerful search systems with state-of-the-art NLP.
Generative AI for Beginners 👶 Generative AI for Beginners: A beginner's guide to understanding and building generative AI models.
Prompting Guide 📝 Prompting Guide: A comprehensive guide for crafting effective prompts to improve the performance of your AI models.
NVIDIA NeMo Examples 💻 NVIDIA NeMo Examples: Examples for using NVIDIA NeMo to build, train, and deploy conversational AI models.
Outlines Examples ✏️ Outlines Examples: Examples for using Outlines to create structured data extraction workflows.
Google Cloud Generative AI ☁️ Google Cloud Generative AI: Resources and examples for building generative AI models on Google Cloud.
Hugging Face Transformers Examples 🔄 Hugging Face Transformers Examples: Examples for using Hugging Face Transformers to implement state-of-the-art NLP models.
e2b Cookbook 📚 e2b Cookbook: Examples and recipes from the e2b cookbook to help you get started with various AI and ML tasks.
Google Colab Notebooks 📝 Google Colab Notebooks: Create and share Jupyter notebooks with free access to GPUs. Perfect for experimenting with AI models and collaborating with others.

Thanks for reading. If you found this list useful, Follow Izam Mohammed for more ❤️.

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A curated collection of tutorials, examples, and tools for generative AI. Dive into a variety of resources, from practical examples and comprehensive guides to trending projects and innovative tools, to enhance your understanding and skills in generative AI.

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