☆120Jan 2, 2019Updated 7 years ago
Alternatives and similar repositories for ddnn
Users that are interested in ddnn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Portable C Library for Distributed CNN Inference on IoT Edge Clusters☆88Mar 18, 2020Updated 6 years ago
- Adaptive Deep Learning Model Selection On Embedded Systems☆11May 6, 2018Updated 8 years ago
- A DNN model partition demo☆32Dec 13, 2019Updated 6 years ago
- Code for the paper: "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"☆52Sep 5, 2021Updated 5 years ago
- ☆14Jan 14, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆23May 29, 2023Updated 3 years ago
- The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images☆17Oct 18, 2022Updated 4 years ago
- Robust Differentially Private Training of Deep Neural Networks☆12Dec 10, 2020Updated 5 years ago
- [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […☆36Jun 16, 2023Updated 3 years ago
- ☆12Jan 5, 2025Updated last year
- ☆27Feb 25, 2021Updated 5 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆18Dec 9, 2020Updated 5 years ago
- Network simulator for edge computing and cloud computing☆24Sep 26, 2017Updated 9 years ago
- Source code of paper "Machine Learning for Load Balancing in the Linux Kernel"☆23Sep 21, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation of algorithms for memory optimized deep neural network training☆11Jul 23, 2020Updated 6 years ago
- Elastic Execution of a DNN Model Between Client and Server☆17Oct 23, 2019Updated 7 years ago
- Pytorch-based early exit network inspired by branchynet☆36May 13, 2025Updated last year
- 2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs☆17Dec 17, 2022Updated 3 years ago
- Benchmarks for Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices - IISWC'19 Paper☆17Nov 2, 2019Updated 7 years ago
- A framework for trace-driven simulation of serverless Function-as-a-Service platforms☆77Jan 30, 2025Updated last year
- Benchmark for Edge Computing Platforms☆23Oct 15, 2022Updated 4 years ago
- Header-only C library for Binary Neural Network Feedforward Inference (targeting small devices)☆48Jan 10, 2022Updated 4 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆43Aug 14, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆42Oct 23, 2026Updated last week
- EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems☆490Oct 23, 2026Updated last week
- A CNN example that demonstrates the workflow for using distributed TensorFlow to split the graph between multiple machines☆17Jun 15, 2018Updated 8 years ago
- DSO SLAM demo for Android☆25May 16, 2017Updated 9 years ago
- Edge Benchmarking Software for Identifying Adaptivity of Distributed Deep Neural Networks☆10Dec 8, 2022Updated 3 years ago
- Tensorflow-lite移动端测试自己的模型☆11Jun 10, 2018Updated 8 years ago
- My Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.☆26Jul 6, 2017Updated 9 years ago
- An analytical performance modeling tool for deep neural networks.☆94Sep 24, 2020Updated 6 years ago
- Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving☆36Dec 27, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing☆26Jul 19, 2020Updated 6 years ago
- Course on Machine Learning for Networks at Télécom SudParis (Institut Polytechnique de Paris)☆17Jun 23, 2026Updated 4 months ago
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆120Feb 26, 2020Updated 6 years ago
- A pytorch implement of scalable neural netowrks.☆23Jun 9, 2020Updated 6 years ago
- [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …☆48Dec 30, 2021Updated 4 years ago
- ☆24Sep 12, 2023Updated 3 years ago
- Implementing Google's DistBelief paper☆118Dec 27, 2022Updated 3 years ago