Xxiaoshan's Stars
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
state-spaces/mamba
Mamba SSM architecture
lucidrains/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Ayatans/Machine-Learning-homework
Matlab Coding homework for Machine Learning
facebookresearch/ConvNeXt-V2
Code release for ConvNeXt V2 model
CaptainLYN/Andrew-NG-Meachine-Learning
coursera中Andrew Ng的meachine learning的所有编程测验的原文件
wolfparticle/machineLearningDeepLearning
李宏毅2021机器学习深度学习笔记PPT作业
Vanint/Awesome-LongTailed-Learning
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
PaddlePaddle/PASSL
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
frank-xwang/RIDE-LongTailRecognition
[ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."
Richardzhangxx/AMR-Benchmark
A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition
radioML/examples
Useful RadioML Examples
iyytdeed/Automatic-Modulation-Classification
Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies
KristynaPijackova/Radio-Modulation-Recognition-Networks
Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.
Youhe-Jiang/IJCAI2023-OptimalShardedDataParallel
[IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any interests, please visit/star/fork https://github.com/Youhe-Jiang/OptimalShardedDataParallel
Richardzhangxx/PET-CGDNN
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
isaaccorley/pytorch-modulation-recognition
PyTorch Implementation Modulation Recognition Networks on the RadioML2016 Dataset
DTMB-DL/TransGroupNet
The Pytorch implement of the paper "Convolutional Neural Network Assisted Transformer for Automatic Modulation Recognition under Large CFOs and SROs"
YesterdayDX/SemiAMC
zd2021fj/SemiAMR
Xxiaoshan/MAC_UAMR
The code of MAC_UAMR in pytorch
FanAttic-dev/adaptive-lifting-scheme