Alternatives and similar repositories for Pruning-from-scratch

Users that are interested in Pruning-from-scratch are comparing it to the libraries listed below

• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 5 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆74Updated 5 years ago
• sony-si / ai-research
  ☆48Updated 5 years ago
• VITA-Group / WeakNAS
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Updated 3 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆61Updated 4 years ago
• CAS-CLab / Training-Tricks-for-Binarized-Neural-Networks
  The collection of training tricks of binarized neural networks.
  ☆72Updated 4 years ago
• plumerai / rethinking-bnn-optimization
  Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
  ☆75Updated 6 years ago
• LaVieEnRoseSMZ / AutoBNN
  ☆47Updated 5 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• xushoukai / GDFQ
  official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)
  ☆54Updated 2 years ago
• Jangho-Kim / PSG-pytorch
  Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
  ☆25Updated 5 years ago
• VITA-Group / BNN_NoBN
  [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…
  ☆57Updated 4 years ago
• XinDongol / DNNAC
  All about acceleration and compression of Deep Neural Networks
  ☆33Updated 6 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆60Updated 5 years ago
• xfey / pytorch-BigNAS
  PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
  ☆28Updated 3 years ago
• lmbxmu / RBNN
  Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
  ☆83Updated 3 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 4 years ago
• yashbhalgat / QualcommAI-MicroNet-submission-MixNet
  3rd place solution for NeurIPS 2019 MicroNet challenge
  ☆37Updated 6 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆62Updated 5 years ago
• mlzxy / qsparse
  Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
  ☆43Updated 3 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆32Updated 5 years ago
• 1adrianb / expert-binary-networks
  Code for High-Capacity Expert Binary Networks (ICLR 2021).
  ☆27Updated 4 years ago
• A-suozhang / Papers-of-NAS
  Personal Digest of NAS (Under Construction 🛠)
  ☆25Updated 5 years ago
• ynahshan / nn-quantization-pytorch
  ☆57Updated 5 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 6 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
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• bzantium / pytorch-admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆99Updated 6 years ago
• Jzz24 / pytorch_quantization
  A pytorch implementation of dorefa quantization
  ☆113Updated 6 years ago