stjuliet

ax-llm

Explore LLM model deployment based on AXera's AI chips

LENAS

This is the official code of the paper "LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction"

open-kbp

Develop dose prediction models for knowledge-based planning in radiotherapy

Awesome-Healthcare-Foundation-Models

ManyICL

BPFNet

RGBD-SODsurvey

RGB-D Salient Object Detection: A Survey

XrayGLM

🩺 首个会看胸部X光片的中文多模态医学大模型 | The first Chinese Medical Multimodal Model that Chest Radiographs Summarization.

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

EDCC-Palmprint-Recognition

EDCC: An efficient and accurate algorithm for palmprint recognition.

RobustPalmRoi

A robust algorithm for extracting ROI from palm image taken by mobile phone.

Book-of-MLM

《多模态大模型：新一代人工智能技术范式》作者：刘阳，林倞

Monkey

【CVPR 2024 Highlight】Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models

Awesome-Open-Vocabulary

(TPAMI 2024) A Survey on Open Vocabulary Learning

yolo2voc

🔖🔄 | YOLO2VOC - VOC2YOLO

TransGPT

VLM_survey

Collection of AWESOME vision-language models for vision tasks

Awesome-CV-Foundational-Models

X-LLM

X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

LLaVA

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

awesome-LLMs-In-China

**大模型

lang-segment-anything

SAM with text prompt

Grounded-Segment-Anything

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

Segment-Everything-Everywhere-All-At-Once

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

segment-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.

FastSAM

Fast Segment Anything

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

pedestrians-3d-detection

A repository for pedestrian 3D detection framework based on 2D LiDAR and monocular camera.

3D-Pedestrian-Detection-in-Farmland

3D pedestrian detection in farmland by monocular RGB image and infrared sensing