Search awesome repositories

Making large AI models cheaper, faster and more accessible

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Janus-Series: Unified Multimodal Understanding and Generation Models

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density

Chronos: Pretrained Models for Time Series Forecasting

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

Code and models for ICML 2024 paper, NExT-GPT: Any-to-Any Multimodal Large Language Model

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

MathCode: A Frontier Mathematical Coding Agent