Alternatives and similar repositories for mayo:

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

• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 years ago
• jack-willturner / deep-compression
  Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626
  ☆176Updated 2 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆114Updated 7 years ago
• 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 4 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆157Updated 4 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆151Updated 6 years ago
• wanglouis49 / pytorch-weights_pruning
  PyTorch Implementation of Weights Pruning
  ☆185Updated 7 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
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆77Updated 6 years ago
• caiwenpu / Compression_Paper
  ☆46Updated 5 years ago
• ynahshan / nn-quantization-pytorch
  ☆55Updated 4 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆112Updated 4 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 2 years ago
• ruihangdu / PyTorch-Deep-Compression
  A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
  ☆40Updated 6 years ago
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆134Updated 5 years ago
• nowgood / QuantizeCNNModel
  Implement Towards Effective Low-bitwidth Convolutional Neural Networks
  ☆42Updated 6 years ago
• aliyun / alibabacloud-quantization-networks
  alibabacloud-quantization-networks
  ☆121Updated 5 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆165Updated 4 years ago
• enyac-group / LeGR
  CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
  ☆114Updated 4 years ago
• liuzechun / Bi-Real-net
  Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…
  ☆183Updated 3 years ago
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆155Updated 7 months ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆41Updated 6 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆33Updated 5 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆243Updated 6 months ago
• jack-willturner / batchnorm-pruning
  Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
  ☆71Updated 6 years ago
• SCUT-AILab / DCP
  Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
  ☆184Updated 4 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆73Updated 5 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆58Updated 4 years ago
• mil-ad / studying-binary-neural-networks
  ☆53Updated 5 years ago