Alternatives and similar repositories for ApproxDet

Users that are interested in ApproxDet are comparing it to the libraries listed below

• modelstreaming / ams
  Adaptive Model Streaming for real-time video inference on edge devices
  ☆41Updated 3 years ago
• wuyangzhang / elf
  ☆57Updated 3 years ago
• edge-video-services / ekya
  Source code and datasets for Ekya, a system for continuous learning on the edge.
  ☆107Updated 3 years ago
• reducto-sigcomm-2020 / reducto
  ☆46Updated 2 years ago
• xumengwei / Edge-AI-Paper-List
  ☆205Updated last year
• purdue-dcsl / ApproxDet
  ☆9Updated 4 years ago
• KuntaiDu / dds
  Server-driven Video Streaming for Deep Learning Inference
  ☆94Updated 3 years ago
• viscloud / ff
  FilterForward: Scaling Video Analytics on Constrained Edge Nodes
  ☆28Updated 5 years ago
• falcon-xu / DeViT
  PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices
  ☆13Updated last year
• Kyrie-Zhao / awesome-real-time-AI
  This is a list of awesome edgeAI inference related papers.
  ☆97Updated last year
• casys-kaist / CoVA
  Official code repository for "CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics [USENIX ATC 22]"
  ☆16Updated 10 months ago
• KuntaiDu / AccMPEG
  ☆30Updated 2 years ago
• xudoong / EdgeVisionTransformer
  To deploy Transformer models in CV to mobile devices.
  ☆18Updated 3 years ago
• CPS-AI / Deep-Compressive-Offloading
  Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency
  ☆28Updated 4 years ago
• City-of-Bellevue / TrafficVideoDataset
  ☆16Updated 3 years ago
• USC-NSL / Caesar
  ☆17Updated 5 years ago
• SLAM-Lab / DeepThings
  A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
  ☆27Updated 4 years ago
• zoranzhao / DeepThings
  A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
  ☆83Updated 5 years ago
• microsoft / nn-Meter
  A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
  ☆357Updated last year
• zxxia / benchmarking
  ☆20Updated 2 years ago
• yoshitomo-matsubara / hnd-ghnd-object-detectors
  [ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL …
  ☆25Updated 2 years ago
• zejiangh / Filter-GaP
  The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…
  ☆38Updated 3 years ago
• jshilong / FisherPruning
  Group Fisher Pruning for Practical Network Compression(ICML2021)
  ☆160Updated 2 years ago
• UbiquitousLearning / MobileDLFrameworksBenchmark
  ☆19Updated 3 years ago
• wenh18 / AdaptiveNet
  ☆16Updated last year
• xumengwei / DeepCache
  Cache design for CNN on mobile
  ☆34Updated 7 years ago
• changlin31 / DS-Net
  (CVPR 2021, Oral) Dynamic Slimmable Network
  ☆229Updated 3 years ago
• LINC-BIT / legodnn
  LegoDNN: a block-grained scaling tool for mobile vision systems
  ☆50Updated 2 years ago
• csu-eis / CoDL
  ☆77Updated 2 years ago
• yuanmu97 / InFi
  InFi is a library for building input filters for resource-efficient inference.
  ☆38Updated last year