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

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

使用yolov5，双目摄像头进行测距

🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

A collection of Deep Learning projects and resources

Math formula recognition (Images to LaTeX strings)

road damage detection challenge 2020

Machine Learning University: Decision Trees and Ensemble Methods

Urban Informatics and Visualization (UC Berkeley CP255)

Satellite data processing experiments

第五届百度西安交大大数据竞赛 城市区域功能分类 Baseline

Implimentation of YOLOv5 and DeepSort in Pytorch for object tracking

An open-source semi-automated processing chain for urban OBIA classification.

图像分割数据集教程

Word Embedding visualization with T-SNE (t-distributed stochastic neighbor embedding) for BERT, ALBERT, ELMO, ELECTRA, XLNET, GLOVE.