ZrrSkywalker

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.

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

ImageBind

ImageBind One Embedding Space to Bind Them All

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

LLaMA-Adapter

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

DragGAN

Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" （DragGAN 全功能实现，在线Demo，本地部署试用，代码、模型已全部开源，支持Windows, macOS, Linux）

Segment-Everything-Everywhere-All-At-Once

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

GPT-4-LLM

Instruction Tuning with GPT-4

LLaMA2-Accessory

An Open-source Toolkit for LLM Development

Painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

Personalize-SAM

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

prolificdreamer

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

LLaVA-Plus-Codebase

LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

OneLLM

[CVPR 2024] OneLLM: One Framework to Align All Modalities with Language

PointLLM

[arXiv 2023] PointLLM: Empowering Large Language Models to Understand Point Clouds

Point-Bind_Point-LLM

Align 3D Point Cloud with Multi-modalities for Large Language Models

MonoDETR

[ICCV 2023] The first DETR model for monocular 3D object detection with depth-guided transformer

JourneyDB

APE

[ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"

lightning-GPT

Train and run GPTs with Lightning

IAE

[ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"

MUTR

[AAAI 2024] Referred by Multi-Modality: A Unified Temporal Transformers for Video Object Segmentation

ViewRefer3D

Official implementation of 'ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance' (ICCV2023)

MV-JAR

[CVPR 2023] MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training

Point-PEFT

Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models(AAAI2024)

TFS3D

[CVPR2024] Less is more: Towards efficient few-shot 3D semantic segmentation via training-free networks

SSD-MonoDETR

DS-Net

MonoDETR_paddle