Efficient computing methods developed by Huawei Noah's Ark Lab
The main features of huawei-noah/efficient-computing are: Model Utilities.
Open-source alternatives to huawei-noah/efficient-computing include: ailab-cvc/seed — Official implementation of SEED-LLaMA (ICLR 2024). dvlab-research/prompt-highlighter — [CVPR 2024] Prompt Highlighter: Interactive Control for Multi-Modal LLMs. kohjingyu/fromage — 🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs". kohjingyu/gill — 🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models". shi-labs/vcoder — [CVPR 2024] VCoder: Versatile Vision Encoders for Multimodal Large Language Models. tingyu215/ts-llava — TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models.
CVPR 2024 Prompt Highlighter: Interactive Control for Multi-Modal LLMs
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".
