avfranco-br

avfranco-br's Stars

• avfranco-br/ai-genai-where-to-start

  Write and share about learnings from my own exploration journey to help others

  1

• aishwaryanr/awesome-generative-ai-guide

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

  11.4k2.4k

• freddyaboulton/fastrtc

  The python library for real-time communication

  Language:JavaScript3.2k270

• andrewyng/aisuite

  Simple, unified interface to multiple Generative AI providers

  Language:Python11.8k1.1k

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook75.4k39k

• langchain-ai/langgraph-supervisor-py

  Language:Python63696

• crewAIInc/crewAI-examples

  A collection of examples that show how to use CrewAI framework to automate workflows.

  Language:Python3.9k1.5k

• huggingface/smolagents

  🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

  Language:Python15.4k1.4k

• meta-llama/llama-stack

  Composable building blocks to build Llama Apps

  Language:Python7.5k934

• NirDiamant/GenAI_Agents

  This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

  Language:Jupyter Notebook9.2k1.2k

• meta-llama/llama-cookbook

  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

  Language:Jupyter Notebook16.5k2.4k

• openai/swarm

  Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

  Language:Python19.4k2.1k

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook13.5k1.4k

• andrewyng/translation-agent

  Language:Python5.3k636

• abetlen/llama-cpp-python

  Python bindings for llama.cpp

  Language:Python8.8k1.1k

• langchain-ai/rag-from-scratch

  Language:Jupyter Notebook3.7k1.1k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook104k16.8k

• fastai/fastai

  The fastai deep learning library

  Language:Jupyter Notebook26.8k7.6k

• microsoft/semantic-kernel

  Integrate cutting-edge LLM technology quickly and easily into your apps

  Language:C#23.6k3.6k

• smartcontractkit/chainlink-mix

  Working with smart contracts with eth-brownie, python, and Chainlink.

  Language:Solidity510195

• freeCodeCamp/freeCodeCamp

  freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

  Language:TypeScript414k39.5k

• facebookresearch/ParlAI

  A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

  Language:Python10.5k2.1k

• public-apis/public-apis

  A collective list of free APIs

  Language:Python333k35.3k

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python238k25.4k

• flower-platform/Arduino-FlowerOTA

  Library for OTA update

  Language:C++52

• arduino/ArduinoCloudProviderExamples

  Examples of how to connect various Arduino boards to cloud providers.

  Language:C7426

• firedog1024/mkr1000-iotc

  Connecting an Arduino MKR1000 to Azure IoT Central

  Language:C3513