Alternatives and similar repositories for Pruning-from-scratch

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

• 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 2 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• yuchaoli / CC
  Towards Compact CNNs via Collaborative Compression
  ☆11Updated 3 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• xfey / pytorch-BigNAS
  PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
  ☆26Updated 2 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 3 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆73Updated 4 years ago
• sony-si / ai-research
  ☆47Updated 4 years ago
• ynahshan / nn-quantization-pytorch
  ☆57Updated 4 years ago
• eric8607242 / SGNAS
  [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
  ☆38Updated 3 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• LaVieEnRoseSMZ / AutoBNN
  ☆46Updated 5 years ago
• Jangho-Kim / PSG-pytorch
  Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
  ☆26Updated 4 years ago
• 1adrianb / expert-binary-networks
  Code for High-Capacity Expert Binary Networks (ICLR 2021).
  ☆27Updated 3 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆60Updated 5 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 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 3 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• cornell-zhang / dnn-gating
  Conditional channel- and precision-pruning on neural networks
  ☆72Updated 5 years ago
• zzzxxxttt / pytorch_simple_DARTS
  A simple pytorch implementation of Differentiable Architecture Search (DARTS)
  ☆19Updated 5 years ago
• GATECH-EIC / CPT
  [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…
  ☆31Updated last year
• facebookresearch / AttentiveNAS
  code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
  ☆104Updated 3 years ago
• megvii-model / RLNAS
  ☆20Updated 2 years ago
• deathboydmi / DynamicChannelPruning
  Dynamic Channel Pruning: Feature Boosting and Suppression
  ☆17Updated 6 years ago
• xushoukai / GDFQ
  official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)
  ☆54Updated last year
• deJQK / AdaBits
  ☆39Updated 2 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 5 years ago
• z-hXu / ReCU
  Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…
  ☆39Updated 3 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 4 years ago