Alternatives and similar repositories for DeepCache:

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

• reducto-sigcomm-2020 / reducto
  ☆45Updated last year
• viscloud / ff
  FilterForward: Scaling Video Analytics on Constrained Edge Nodes
  ☆28Updated 5 years ago
• JC1DA / DeepMon
  ☆36Updated 7 years ago
• zxxia / benchmarking
  ☆21Updated 2 years ago
• zoranzhao / DeepThings
  A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
  ☆81Updated 4 years ago
• ztt-21 / zTT
  zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation
  ☆22Updated 3 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
• wuyangzhang / elf
  ☆56Updated 3 years ago
• KuntaiDu / AccMPEG
  ☆28Updated 2 years ago
• csu-eis / CoDL
  ☆74Updated last year
• KuntaiDu / dds
  Server-driven Video Streaming for Deep Learning Inference
  ☆86Updated 2 years ago
• UbiquitousLearning / MobileDLFrameworksBenchmark
  ☆19Updated 2 years ago
• jaywonchung / ShadowTutor
  (ICPP '20) ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference
  ☆12Updated 4 years ago
• awstream / awstream
  Adaptive Wide-Area Streaming Analytics
  ☆30Updated 5 years ago
• kunglab / ddnn
  ☆117Updated 6 years ago
• SLAM-Lab / DeepThings
  A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
  ☆25Updated 3 years ago
• casys-kaist / Edge-scheduler
  ☆13Updated 3 years ago
• Kyrie-Zhao / awesome-real-time-AI
  This is a list of awesome edgeAI inference related papers.
  ☆91Updated last year
• stanford-mast / INFaaS
  Model-less Inference Serving
  ☆83Updated last year
• xumengwei / EdgeWorkloadsTraces
  ☆38Updated 3 years ago
• artpad6 / gemel_nsdi23
  ☆21Updated last year
• xudoong / EdgeVisionTransformer
  To deploy Transformer models in CV to mobile devices.
  ☆18Updated 3 years ago
• modelstreaming / ams
  Adaptive Model Streaming for real-time video inference on edge devices
  ☆41Updated 3 years ago
• lwangbm / Metis
  Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale
  ☆17Updated 4 years ago
• shaojiawei07 / Branchy-GNN
  ☆21Updated last year
• kunglab / branchynet
  ☆124Updated last year
• elvinlife / RadioSaber
  RadioSaber is State-of-the-Art 5G RAN slicing algorithm that achieves high spectrum efficiency, ensures weighted fairness across slices, …
  ☆20Updated last year
• pengyanghua / DL2
  a deep learning-driven scheduler for elastic training in deep learning clusters
  ☆28Updated 4 years ago
• edge-video-services / ekya
  Source code and datasets for Ekya, a system for continuous learning on the edge.
  ☆103Updated 2 years ago
• learning1234embed / NeuralWeightVirtualization
  [MobiSys 2020] Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization
  ☆16Updated 4 years ago