Alternatives and similar repositories for PyTorch-FBS:

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

• kalviny / IMTA
  ☆48Updated 5 years ago
• liuzechun / AdamBNN
  How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.
  ☆59Updated 3 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆63Updated 2 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 4 years ago
• deathboydmi / DynamicChannelPruning
  Dynamic Channel Pruning: Feature Boosting and Suppression
  ☆17Updated 5 years ago
• Pokemon-Huang / sparse-structure-selection-PyTorch
  PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"
  ☆20Updated 4 years ago
• DingXiaoH / AOFP
  Codes of Approximated Oracle Filter Pruning
  ☆32Updated 2 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆43Updated 2 years ago
• LTH14 / FSKD
  ☆30Updated 4 years ago
• lmbxmu / CLR-RNF
  Pytorch implementation of our paper (TNNLS) -- Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
  ☆12Updated 2 years ago
• MingSun-Tse / Regularization-Pruning
  [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
  ☆83Updated 3 years ago
• MAC-AutoML / XNAS
  XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.
  ☆47Updated 2 years ago
• ShaohuiLin / GAL
  PyTorch implementation for GAL.
  ☆55Updated 4 years ago
• chenyaofo / CTNAS
  [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators
  ☆40Updated 2 years ago
• lmbxmu / ABCPruner
  Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search
  ☆143Updated 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
• deJQK / AdaBits
  ☆38Updated 2 years ago
• Roll920 / AutoPruner
  PyTorch Implementation of AutoPruner
  ☆22Updated 4 years ago
• AberHu / TF-NAS
  TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)
  ☆76Updated 3 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• FLHonker / ZAQ-code
  CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)
  ☆65Updated 3 years ago
• sajaddarabi / BiRealNet
  Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights
  ☆17Updated 5 years ago
• zyxxmu / White-Box
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box
  ☆18Updated 2 years ago
• AlumLuther / PruningFilters
  Pruning Filters For Efficient ConvNets, PyTorch Implementation.
  ☆30Updated 4 years ago
• DingXiaoH / Centripetal-SGD
  Codes of Centripetal SGD
  ☆63Updated 2 years ago
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆44Updated 3 years ago
• VITA-Group / Random_Pruning
  [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…
  ☆73Updated 2 years ago
• Roll920 / CURL
  PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data
  ☆22Updated 4 years ago
• zyxxmu / lottery-jackpots
  Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models
  ☆32Updated last year