[ECCV2024] Official implementation of Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes

🦜🔗 Build context-aware reasoning applications

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

Zero-shot Object Counting with Good Exemplars[ECCV 2024]

Includes the code for training and testing the CountGD model from the paper CountGD: Multi-Modal Open-World Counting.

TPAMI：Frequency-aware Feature Fusion for Dense Image Prediction

“爱可可-爱生活”微博内容精选

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Awesome Papers related to Mamba.

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

A latent text-to-image diffusion model

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Grounded Language-Image Pre-training

#1 Locally hosted web application that allows you to perform various operations on PDF files

best way to save what you love

real time face swap and one-click video deepfake with only a single image

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.

The official Meta Llama 3 GitHub site

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

Set-of-Mark Prompting for GPT-4V and LMMs

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)

Code for Machine Learning for Algorithmic Trading, 2nd edition.

《统计学习方法》的代码实现

Implementation of GraphKan with torch geometrics and its application on signal classification

🏅 Collection of Kaggle Solutions and Ideas 🏅