aazim18 / PythonLinks
Deep neural network (DNN) implementation for inference tasks
☆13Updated 5 years ago
Alternatives and similar repositories for Python
Users that are interested in Python are comparing it to the libraries listed below
Sorting:
- A DNN model partition demo☆31Updated 5 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- DNN_Partition辅助工具，用于对pytorch模型进行简单的性能分析以及支持模型切分☆12Updated 4 years ago
- This project will realize experiments about BranchyNet partitioning using pytorch framework☆27Updated 4 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Updated last year
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆27Updated 4 years ago
- 基于提前退出部分样本原理而实现的带分支网络（supported by chainer）☆45Updated 6 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆41Updated 3 years ago
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆14Updated 2 years ago
- Pytorch-based early exit network inspired by branchynet☆31Updated 3 weeks ago
- Auto-Split: A General Framework of Collaborative Edge-Cloud AI☆12Updated 3 years ago
- ☆11Updated 5 years ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆12Updated 10 months ago
- A curated list of research in System for Edge Intelligence and Computing(Edge MLSys), including Frameworks, Tools, Repository, etc. Paper…☆29Updated 3 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆13Updated 2 years ago
- ☆13Updated 5 years ago
- Code for paper "Locally Distributed Deep Learning Inference on Edge Device Clusters"☆13Updated 2 years ago
- [ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL …☆25Updated last year
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆40Updated 2 years ago
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆13Updated last year
- 云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge☆40Updated last year
- Federated Learning package☆21Updated 3 years ago
- Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"☆17Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆73Updated 2 years ago
- A Distributed Camera System for Inference Scheduling and Continuous Learning in Video Analytics☆17Updated last year
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆21Updated 2 years ago
- (ICPP '20) ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference☆12Updated 4 years ago
- 2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs☆17Updated 2 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Updated 4 years ago