Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder

Implementation and improvement of "Over the Air Deep Learning Based Radio Signal Classification"

Open RadioML Synthetic Benchmark Dataset

A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

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.

本系统使用是一个django项目，主要功能包括多类型指针式仪表识别、文字识别、仪表模板管理等。仪表识别的过程为：使用OCR文字识别检测待测仪表图像的模板类型，读取模板图像和其对应的参数信息；然后进行模板匹配定位仪表位置，再获取指针角度以及计算仪表数值。