Alternatives and similar repositories for hnd-ghnd-object-detectors:

Users that are interested in hnd-ghnd-object-detectors are comparing it to the libraries listed below

• yoshitomo-matsubara / head-network-distillation
  [IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and […
  ☆36Updated last year
• CPS-AI / Deep-Compressive-Offloading
  Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency
  ☆27Updated 4 years ago
• pachecobeto95 / POPEX
  This project will realize experiments about BranchyNet partitioning using pytorch framework
  ☆27Updated 4 years ago
• njcpe / neurosurgeon
  ☆11Updated 5 years ago
• shaojiawei07 / BottleNetPlusPlus
  Code for the paper: "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"
  ☆49Updated 3 years ago
• modelstreaming / ams
  Adaptive Model Streaming for real-time video inference on edge devices
  ☆41Updated 3 years ago
• shaojiawei07 / Branchy-GNN
  ☆22Updated last year
• yoshitomo-matsubara / supervised-compression
  [WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"
  ☆32Updated last year
• viscloud / ff
  FilterForward: Scaling Video Analytics on Constrained Edge Nodes
  ☆28Updated 5 years ago
• letian-zhang / ANS
  Autodidactic Neurosurgeon Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
  ☆41Updated 3 years ago
• wuyangzhang / elf
  ☆56Updated 3 years ago
• shaojiawei07 / Edge_Inference_three-step_framework
  ☆25Updated 4 years ago
• KuntaiDu / AccMPEG
  ☆28Updated 2 years ago
• aazim18 / Python
  Deep neural network (DNN) implementation for inference tasks
  ☆13Updated 5 years ago
• h-shawn / Split-learning
  A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.
  ☆13Updated last year
• eksuas / eenets.pytorch
  Pytorch implementation of EENets
  ☆18Updated 7 months ago
• hush66 / DNN-Partition-demo
  A DNN model partition demo
  ☆31Updated 5 years ago
• hou-yz / pytorch-pruning-2step
  2-stage pruning to favor distributed inference (local device compute half of the model, upload the feature for further computing on stron…
  ☆23Updated 6 years ago
• IoTDATALab / RTCoInfer
  The implementation of paper : RTCoInfer: Real-time Edge-Cloud Collaborative CNN Inference for Stream Analytics on Ubiquitous Images
  ☆14Updated 2 years ago
• gorakraj / earlyexit_onnx
  2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs
  ☆17Updated 2 years ago
• falcon-xu / DeViT
  PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices
  ☆12Updated 8 months ago
• biggsbenjamin / earlyexitnet
  Pytorch-based early exit network inspired by branchynet
  ☆31Updated last week
• FENP / pytorchtool
  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
  ☆11Updated 3 years ago
• yoshitomo-matsubara / sc2-benchmark
  [TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"
  ☆30Updated last month
• kclip / FL-SNN
  Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
  ☆15Updated 4 years ago
• fangvv / EdgeDI
  Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"
  ☆13Updated last year
• Tjyy-1223 / DADS
  云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge
  ☆38Updated last year
• imperial-qore / DeepFT
  Self-Supervised Deep Learning based Surrogate Models for Fault-Tolerant Edge Computing
  ☆20Updated 2 years ago
• abanitalebi / auto-split
  Auto-Split: A General Framework of Collaborative Edge-Cloud AI
  ☆12Updated 3 years ago
• yuanmu97 / InFi
  InFi is a library for building input filters for resource-efficient inference.
  ☆37Updated last year