Alternatives and similar repositories for PyTorch-FBS

Users that are interested in PyTorch-FBS are comparing it to the libraries listed below

• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆43Updated 3 years ago
• lmbxmu / ABCPruner
  Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search
  ☆145Updated 4 years ago
• LTH14 / FSKD
  ☆31Updated 5 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆23Updated 4 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆56Updated 5 years ago
• deathboydmi / DynamicChannelPruning
  Dynamic Channel Pruning: Feature Boosting and Suppression
  ☆17Updated 6 years ago
• MingSun-Tse / Regularization-Pruning
  [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
  ☆82Updated 4 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
• kalviny / IMTA
  ☆47Updated 5 years ago
• MAC-AutoML / XNAS
  XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.
  ☆47Updated 3 years ago
• AberHu / TF-NAS
  TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)
  ☆75Updated 4 years ago
• DingXiaoH / AOFP
  Codes of Approximated Oracle Filter Pruning
  ☆32Updated 3 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆60Updated 4 years ago
• 1adrianb / binary-nas
  ☆35Updated 5 years ago
• xfey / pytorch-BigNAS
  PyTorch implementation of BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models
  ☆28Updated 3 years ago
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆64Updated 3 years ago
• chenyaofo / CTNAS
  [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators
  ☆40Updated 3 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
• guoyongcs / NAT
  Implementation for NAT.
  ☆58Updated 5 years ago
• xiezheng-cs / DTQ
  PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
  ☆18Updated 3 years ago
• lmbxmu / CLR-RNF
  Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
  ☆12Updated 3 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆60Updated 5 years ago
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆29Updated 4 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• xiangning-chen / SmoothDARTS
  Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"
  ☆76Updated 4 years ago
• zyxxmu / lottery-jackpots
  Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models
  ☆34Updated 2 years ago
• ArchipLab-LinfengZhang / Task-Oriented-Feature-Distillation
  This is the implementaion of paper "Task-Oriented Feature Distillation"
  ☆44Updated 3 years ago
• haolibai / Cross-Distillation
  Codes for paper "Few Shot Network Compression via Cross Distillation", AAAI 2020.
  ☆31Updated 5 years ago
• lmbxmu / RBNN
  Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
  ☆83Updated 2 years ago