wenh18 / AdaptiveNet_artifactLinks
☆15Updated 2 years ago
Alternatives and similar repositories for AdaptiveNet_artifact
Users that are interested in AdaptiveNet_artifact are comparing it to the libraries listed below
Sorting:
- ☆16Updated 2 years ago
- This is a list of awesome edgeAI inference related papers.☆97Updated 2 years ago
- ☆211Updated last year
- ☆78Updated 2 years ago
- ☆102Updated last year
- MobiSys#114☆22Updated 2 years ago
- Source code and datasets for Ekya, a system for continuous learning on the edge.☆111Updated 3 years ago
- Code for paper "ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection" (MobiSys'23)☆14Updated 2 years ago
- Experimental deep learning framework written in Rust☆15Updated 3 years ago
- zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation☆27Updated 4 years ago
- InFi is a library for building input filters for resource-efficient inference.☆41Updated 2 years ago
- ☆57Updated 4 years ago
- A curated list of awesome projects and papers for AI on Mobile/IoT/Edge devices. Everything is continuously updating. Welcome contributio…☆44Updated 2 years ago
- One-size-fits-all model for mobile AI, a novel paradigm for mobile AI in which the OS and hardware co-manage a foundation model that is c…☆29Updated last year
- A Portable C Library for Distributed CNN Inference on IoT Edge Clusters☆87Updated 5 years ago
- ☆10Updated 4 years ago
- Our unique contributions are in tools/train/benchmark.☆19Updated 8 months ago
- LegoDNN: a block-grained scaling tool for mobile vision systems☆51Updated 2 years ago
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆22Updated 4 years ago
- ☆14Updated 4 years ago
- ☆101Updated 3 weeks ago
- Code for ACM MobiCom 2024 paper "FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices"☆57Updated 10 months ago
- PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices☆17Updated last year
- ☆26Updated 2 years ago
- ☆47Updated 2 years ago
- PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices☆37Updated last year
- To deploy Transformer models in CV to mobile devices.☆18Updated 3 years ago
- Miro[ACM MobiCom '23] Cost-effective On-device Continual Learning over Memory Hierarchy with Miro☆17Updated last year
- A demo of end-to-end federated learning system.☆69Updated 3 years ago
- Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning☆42Updated 4 years ago