Showing 1-20 of 32 projects
Colossal-AI optimizes large AI model training and inference with distributed computing and GPU acceleration.
LLaVA is a visual instruction tuning framework for large language and vision models, enabling GPT-4 level capabilities.
Microsoft's research repo for large-scale self-supervised pre-training across tasks, languages, and modalities
Janus-Series: Unified Multimodal Understanding and Generation Models for AI-powered vibe coders.
A Python library that adds safety guardrails to large language models like GPT-3 to improve their reliability and safety.
Open-source full-song music generation foundation model for developers building AI-powered audio applications.
A Python library for processing and analyzing data with foundation models and large language models.
A foundation model for tabular data that enables advanced machine learning on structured datasets.
Chronos is a pretrained model for time series forecasting, leveraging large language models and transformers.
TimeGPT-1 is a production-ready pre-trained time series foundation model for forecasting and anomaly detection.
Code and models for a multimodal large language model that can perform any-to-any tasks
An open-source project that enables developers to build chatbots with video understanding using large language models.
LimiX is a Python library that enables structured-data modeling capability for generalist intelligence.
InternGPT is an open-source demo platform that showcases various AI models, including DragGAN, ChatGPT, ImageBind, and multimodal chat.
A PyTorch-based computer vision foundation model with deformable convolutions for object detection and segmentation.
An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.
A video foundation model and dataset for multimodal understanding and video understanding tasks.
A curated list of awesome resources about LLM-powered agents, including papers, repos, and blogs.
A prompt learning framework for vision-language models.
An automatic evaluator for instruction-following language models with human-validated, high-quality, cheap, and fast evaluation.
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