language-conditioned-robot-manipulation-models

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

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

An elegant PyTorch deep reinforcement learning library.

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

DeepSeek-VL: Towards Real-World Vision-Language Understanding

Code and models for 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.

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN