Alternatives and similar repositories for Adaptive_Deep_Learning:

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

• fangvv / awesome-edge-intelligence-collections
  About DNN compression and acceleration on Edge Devices.
  ☆56Updated 3 years ago
• aazim18 / Python
  Deep neural network (DNN) implementation for inference tasks
  ☆13Updated 5 years ago
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 4 years ago
• chaoyanghe / FedNAS
  FedNAS: Federated Deep Learning via Neural Architecture Search
  ☆54Updated 3 years ago
• kunglab / branchynet
  ☆125Updated last year
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• indrajeet95 / Device-Placement-Optimization-with-Reinforcement-Learning
  https://arxiv.org/abs/1706.04972
  ☆42Updated 6 years ago
• shaojiawei07 / Branchy-GNN
  ☆22Updated last year
• enyac-group / NeuralPower
  The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks
  ☆21Updated 5 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• msr-fiddle / dnn-partitioning
  ☆39Updated 4 years ago
• deathboydmi / DynamicChannelPruning
  Dynamic Channel Pruning: Feature Boosting and Suppression
  ☆17Updated 5 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 7 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
• taivu1998 / ResNet-Regularization-Pruning
  An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.
  ☆16Updated 4 years ago
• SamsungLabs / eagle
  Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models
  ☆66Updated last year
• usc-isi / PipeEdge
  PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices
  ☆30Updated last year
• lirundong / quant-pack
  [Ongoing Project] Codebase for network quantization study.
  ☆12Updated 4 years ago
• xudoong / EdgeVisionTransformer
  To deploy Transformer models in CV to mobile devices.
  ☆17Updated 3 years ago
• vballoli / ENAS-CNN
  Implementation of ENAS for CNNs on CIFAR 10
  ☆11Updated 5 years ago
• kunglab / ddnn
  ☆116Updated 6 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆33Updated 4 years ago
• pachecobeto95 / POPEX
  This project will realize experiments about BranchyNet partitioning using pytorch framework
  ☆27Updated 4 years ago
• xumengwei / DeepCache
  Cache design for CNN on mobile
  ☆32Updated 6 years ago
• UbiquitousLearning / MobileDLFrameworksBenchmark
  ☆19Updated 3 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• Kyrie-Zhao / awesome-real-time-AI
  This is a list of awesome edgeAI inference related papers.
  ☆95Updated last year
• UoS-EEC / DynamicOFA
  [CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
  ☆29Updated 2 years ago
• qipengwang / Melon
  MobiSys#114
  ☆21Updated last year
• CPS-AI / Deep-Compressive-Offloading
  Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency
  ☆26Updated 4 years ago