Alternatives and similar repositories for pytorch-weight-prune

Users that are interested in pytorch-weight-prune are comparing it to the libraries listed below

• wanglouis49 / pytorch-weights_pruning
  PyTorch Implementation of Weights Pruning
  ☆184Updated 7 years ago
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆155Updated last year
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• youzhonghui / gate-decorator-pruning
  Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"
  ☆196Updated 5 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 7 years ago
• jack-willturner / deep-compression
  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
  ☆178Updated 2 years ago
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆336Updated last year
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆115Updated 5 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 2 years ago
• juliagusak / model-compression-and-acceleration-progress
  Repository to track the progress in model compression and acceleration
  ☆106Updated 4 years ago
• ruihangdu / PyTorch-Deep-Compression
  A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
  ☆40Updated 6 years ago
• eladhoffer / convNet.pytorch
  ConvNet training using pytorch
  ☆347Updated 4 years ago
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 5 years ago
• mrgloom / Network-Speed-and-Compression
  Network acceleration methods
  ☆177Updated 4 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 5 years ago
• enyac-group / LeGR
  CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
  ☆114Updated 5 years ago
• BayesWatch / pytorch-prunes
  Code for https://arxiv.org/abs/1810.04622
  ☆141Updated 5 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 6 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆167Updated 4 years ago
• SCUT-AILab / DCP
  Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
  ☆183Updated 4 years ago
• DeGirum / pruned-models
  Repository containing pruned models and related information
  ☆37Updated 4 years ago
• he-y / soft-filter-pruning
  Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
  ☆382Updated 5 years ago
• NVlabs / Taylor_pruning
  Pruning Neural Networks with Taylor criterion in Pytorch
  ☆320Updated 5 years ago
• wojciechmo / deep-compression
  Compress neural network with pruning and quantization using TensorFlow.
  ☆106Updated 6 years ago
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆78Updated 6 years ago
• caiwenpu / Compression_Paper
  ☆46Updated 5 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆114Updated 6 years ago
• ChanChiChoi / awesome-model-compression
  papers about model compression
  ☆166Updated 2 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 years ago