This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
:satellite: Simple and ready-to-use tutorials for TensorFlow
- tensorflow
- python
- deep-learning
- deep-learning-tutorial
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
- neural-network
- python
- pytorch-tutorial
- batch-normalization
Collection of notebooks about quantitative finance, with interactive python code.
- quantitative-finance
- jupyter-notebooks
- kalman-filter
- option-pricing
Translated【🔞🔞🔞 Contains images not suitable for minors】AI exploration and summary based on my strengths in programming, drawing, and writing: StableDiffusion is a powerful image generation model that can generate new images by evolving an existing image. ChatGPT is a Transformer-based language generation model that can automatically generate suitable articles for an input topic. And Github Copilot is an intelligent programming assistant that can speed up everyday programming activities.
- ai
- aigc
- chatgpt
- github-copilot
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
- artificial-intelligence
- generative-ai
- kubernetes
- kustomize
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
- agentic-ai
- agentic-rag
- agents
- rag
Everything you need to know to build your own RAG application
- agentic-rag
- chatbot
- llm
- machine-learning
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
- python-tutorials
- python3
- advanced-python
- data-science
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
Multi-agent systems, memory, planning, reasoning loops
- aiagents
- agent-skills
- agentic-ai
- agentic-ai-development
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
- mathematics
- linear-algebra
- python
- jupyter
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Build an email assistant with human-in-the-loop and memory
- agents
- memory
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
- milvus
- unstructured-data
- image-search
- audio-search
This repository is deprecated and will be archived
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
- evaluation
- evaluation-metrics
- guidebook
- large-language-models