Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

A concise but complete implementation of CLIP with various experimental improvements from recent papers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

✨✨Latest Advances on Multimodal Large Language Models

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…

Generative Agents: Interactive Simulacra of Human Behavior

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

The first real AI developer

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild

A natural language interface for computers

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

ERNIE Bot Agent is a Large Language Model (LLM) Agent Framework, powered by the advanced capabilities of ERNIE Bot and the platform resources of Baidu AI Studio.

Development repository for the Triton language and compiler

🦜🔗 Build context-aware reasoning applications

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

A Library for Advanced Deep Time Series Models.

This curated list contains python packages for time series analysis

Time series forecasting with PyTorch

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Grounded Language-Image Pre-training

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

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)