Popular GitHub Repositories for Aws Security Resources

? Guides, papers, lecture, notebooks and resources for prompt engineering

Opiniated RAG for integrating GenAI in your apps ? Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. ?Docker-friendly.?Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active project.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

machine learning and deep learning tutorials, articles and other resources

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

A collection of resources and papers on Diffusion Models

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Build, Manage and Deploy AI/ML Systems

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

:octocat: Machine Learning for Cyber Security

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations