Generative Models by Stability AI

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

A PyTorch native platform for training generative AI models

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.

A curated list of Generative AI tools, works, models, and references

Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications.

AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications.

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.

Implementation of Meta-Voicebox : The first generative AI model for speech to generalize across tasks with state-of-the-art performance.

A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.

End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

Run Generative AI models with simple C++/Python API and using OpenVINO Runtime

This solution accelerator leverages Microsoft Foundry, Azure Content Understanding, Azure OpenAI Service, and Foundry IQ to enable organizations to derive insights from volumes of conversational data using generative AI. It offers key phrase extraction, topic modeling, and interactive chat experiences through an intuitive web interface.

This project is a collection of Docker-based web user interfaces designed to easily run various state-of-the-art generative AI models locally. It simplifies the deployment of these AI tools by packaging them into ready-to-use containers with accessible front-end controls.

Google Gen AI Java SDK provides an interface for developers to integrate Google's generative models into their Java applications.

A tool for running and customizing real-time, interactive generative AI pipelines and models

This repository will contain all the presentations, content, hands-on notebooks for a full day Generative AI workshop on Training, Fine-tuning Large Language Models for the DataHack Summit 2024 conference.

Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn all about the key technologies that enable Generative AI practitioners like you to leverage tools like LangChain, LLamaIndex, and more, to build complex LLM applications.

Run generative AI models in sophgo BM1684X/BM1688

🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.

A provider agnostic PHP AI client SDK to communicate with any generative AI models of various capabilities using a uniform API.

IBM-Generative-AI is a Python library built on IBM's large language model REST interface to seamlessly integrate and extend this service in Python programs.

Model Mondays is a weekly livestream with Discord office hours - to help you navigate the fast-moving ecosystem of generative AI models with 5-minute roundups and 15-minute spotlight sessions. Build your model IQ - and make informed model choices!

The jetson-examples repository by Seeed Studio offers a seamless, one-line command deployment to run vision AI and Generative AI models on the NVIDIA Jetson platform.