Alternatives and similar repositories for Caesar:

Users that are interested in Caesar 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
• reducto-sigcomm-2020 / reducto
  ☆45Updated 2 years ago
• viscloud / ff
  FilterForward: Scaling Video Analytics on Constrained Edge Nodes
  ☆28Updated 5 years ago
• awstream / awstream
  Adaptive Wide-Area Streaming Analytics
  ☆30Updated 5 years ago
• KuntaiDu / dds
  Server-driven Video Streaming for Deep Learning Inference
  ☆87Updated 2 years ago
• zxxia / benchmarking
  ☆21Updated 2 years ago
• wuyangzhang / elf
  ☆56Updated 3 years ago
• edge-video-services / ekya
  Source code and datasets for Ekya, a system for continuous learning on the edge.
  ☆103Updated 2 years ago
• SLAM-Lab / DeepThings
  A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
  ☆25Updated 3 years ago
• KuntaiDu / AccMPEG
  ☆28Updated 2 years ago
• KuntaiDu / Video-Aalytic-Overview
  ☆10Updated 4 years ago
• wydwww / asr
  Enabling Edge-Cloud Video Analytics for Robotic Applications (INFOCOM '21)
  ☆9Updated 4 years ago
• SINRG-Lab / swift
  Adaptive Video Streaming with Layered Neural Codecs
  ☆42Updated 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 last year
• casys-kaist / CoVA
  Official code repository for "CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics [USENIX ATC 22]"
  ☆16Updated 5 months ago
• MSNLAB / SmartEye
  ☆22Updated 3 years ago
• xumengwei / DeepCache
  Cache design for CNN on mobile
  ☆32Updated 6 years ago
• SINRG-Lab / Video-Lit
  Systems and Networking related Video research published in major venues of Computer Science.
  ☆157Updated last year
• artpad6 / gemel_nsdi23
  ☆21Updated last year
• StarsThu2016 / ApproxDet
  ☆11Updated 4 years ago
• CPS-AI / Deep-Compressive-Offloading
  Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency
  ☆26Updated 4 years ago
• transys-project / metis
  Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)
  ☆87Updated 2 years ago
• AItransCompetition / Meet-Deadline-Requirements-Challenge
  ACM MULTIMEDIA 2021 Grand Challenge
  ☆23Updated 3 years ago
• SIGCOMM21-5G / artifact
  A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications (SIGCOMM '21)
  ☆54Updated 3 years ago
• MSNLAB / EdgeCam
  A Distributed Camera System for Inference Scheduling and Continuous Learning in Video Analytics
  ☆15Updated last year
• UbiquitousLearning / MobileDLFrameworksBenchmark
  ☆19Updated 2 years ago
• DongzhuXu / 5G_measurement
  Sub-6 band 5G measurement tools and dataset
  ☆37Updated 4 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
• williamsentosa95 / cellreplay
  Record and replay for cellular network emulation
  ☆13Updated 9 months ago