Pinned Repositories
AnomalyLLM
ANS
Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
DCRNet
The offical repo for the paper entitled "Dilated Convolution based CSI Feedback Compression for Massive MIMO System".
DenoiseCompression
[ECCV2022] Optimizing Image Compression via Joint Learning with Denoising
FEEL
part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"
FL_Pytorch
A simple simulation of Federated learning
GAN_SeCom
Channel-aware GAN Inversion for Semantic Communication
Pytorch_Image_classification
Pytorch implementations of image classification
Semantic-Communication-Systems
pytorch implementation of "Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data"
WiMANS
WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing
recusant7's Repositories
recusant7/FEEL
part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"
recusant7/DCRNet
The offical repo for the paper entitled "Dilated Convolution based CSI Feedback Compression for Massive MIMO System".
recusant7/FL_Pytorch
A simple simulation of Federated learning
recusant7/Pytorch_Image_classification
Pytorch implementations of image classification
recusant7/DenoiseCompression
[ECCV2022] Optimizing Image Compression via Joint Learning with Denoising
recusant7/Semantic-Communication-Systems
pytorch implementation of "Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data"
recusant7/ANS
Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
recusant7/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
recusant7/Contrastive-Clustering
Code for the paper "Contrastive Clustering" (AAAI 2021)
recusant7/MOON
Model-Contrastive Federated Learning (CVPR 2021)
recusant7/VL-VFE
Codes for paper "Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Method"
recusant7/arcface-pytorch
recusant7/awesome-ml-demos-with-ios
The challenge projects for Inferencing machine learning models on iOS
recusant7/CRNet
Channel Reconstruction Network implemented in PyTorch
recusant7/diffusion-posterior-sampling
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
recusant7/DRLND-project-3
Implementation of project 3 for Udacity's Deep Reinforcement Learning Nanodegree
recusant7/Dynamic_JSCC
Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022
recusant7/Edge-Intelligence
随着移动云计算和边缘计算的快速发展，以及人工智能的广泛应用，产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中，但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算，例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂，并且可能导致模型精度的下降。在移动云计算或边缘计算中，任务卸载技术可以突破移动终端的资源限制，减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的**，将深度神经网络进行分区，一部分层在移动端计算，而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区，降低时延以及能耗。本项目给出了边缘智能方面的相关论文，并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词：边缘智能(Edge Intelligence)，计算卸载(Computing Offloading)，CNN模型分区(CNN Partition)，协同推断(Collaborative Inference)，移动云计算(Mobile Cloud Computing)
recusant7/guided-diffusion
recusant7/homepage
recusant7/INADE
Implementation of Diverse Semantic Image Synthesis via Probability Distribution Modeling (CVPR 2021)
recusant7/interview_python
关于Python的面试题
recusant7/MIMO_OFDM
《MIMO-OFDM无线通信技术及MATLAB实现》随书源码
recusant7/NTSCC_JSAC22
recusant7/openbilibili
B站源码备份
recusant7/Python_CsiNet
Python code for "Deep Learning for Massive MIMO CSI Feedback"
recusant7/python_plot_utils
A simple code for plotting figure, colorbar, and cropping with python
recusant7/RePaint
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
recusant7/sc2-benchmark
The official repository of "SC2: Supervised Compression for Split Computing"