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.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

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

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Build your neural network easy and fast, 莫烦Python中文教学

李宏毅2021/2022/2023春季机器学习课程课件及作业

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

Official repository for "AM-RADIO: Reduce All Domains Into One"

We extend Segment Anything to 3D perception by combining it with VoxelNeXt.

Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks" (TMLR 2024)

OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal Data

Fetch citations and abstracts of a Google Scholar paper and generate prompt for LLM

HSV色彩空间下的交通灯识别