Alternatives and similar repositories for awesome-model-compression-and-acceleration-1

Users that are interested in awesome-model-compression-and-acceleration-1 are comparing it to the libraries listed below

• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 7 years ago
• statsml / compress-net-notes
  ☆20Updated 7 years ago
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 5 years ago
• romulus0914 / NASBench-PyTorch
  A PyTorch implementation of NASBench
  ☆52Updated 2 years ago
• layog / Accurate-Binary-Convolution-Network
  Binary Convolution Network for faster real-time processing in ASICs
  ☆56Updated 7 years ago
• Z7zuqer / model-compression-and-acceleration-4-DNN
  model-compression-and-acceleration-4-DNN
  ☆21Updated 6 years ago
• tanglang96 / DDPNAS
  Dynamic Distribution Pruning for Efficient Network Architecture Search
  ☆48Updated 6 years ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆115Updated 5 years ago
• bobye / batchnorm_prune
  Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
  ☆30Updated 5 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 8 years ago
• csyhhu / L-DNQ
  Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
  ☆41Updated 6 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 5 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 7 years ago
• LsNatan / NICE
  This code implements NICE papper
  ☆20Updated 6 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 5 years ago
• mrgloom / Network-Speed-and-Compression
  Network acceleration methods
  ☆177Updated 4 years ago
• yuchaoli / KSE
  Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
  ☆49Updated 2 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• hyang1990 / model_based_energy_constrained_compression
  Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"
  ☆18Updated 6 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 7 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• zhaohui-yang / CARS
  [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search
  ☆104Updated 5 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆167Updated 4 years ago
• XinDongol / DNNAC
  All about acceleration and compression of Deep Neural Networks
  ☆33Updated 5 years ago
• TuSimple / sparse-structure-selection
  ☆87Updated 7 years ago
• zhuwenxi / pytorch-profiling-tool
  ☆53Updated 7 years ago
• AnonymousMetaLearn / Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search
  ☆18Updated 5 years ago
• yiwenguo / Dynamic-Network-Surgery
  Caffe implementation for dynamic network surgery.
  ☆187Updated 7 years ago