Alternatives and similar repositories for FDDA:

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

• zysxmu / DFSQ
  super-resolution; post-training quantization; model compression
  ☆11Updated last year
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆30Updated 7 months ago
• zysxmu / IntraQ
  Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Sh…
  ☆31Updated 3 years ago
• lihuantong / HAST
  ☆10Updated last year
• zyxxmu / Bi-Mask
  Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"
  ☆12Updated last year
• zyxxmu / White-Box
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box
  ☆18Updated 3 years ago
• lliai / EMQ-series
  [ICCV-2023] EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
  ☆25Updated last year
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆32Updated last year
• 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…
  ☆38Updated 3 years ago
• ModelTC / L2_Compression
  ☆13Updated 9 months ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• GATECH-EIC / ShiftAddViT
  [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
  ☆32Updated last year
• shawnricecake / search-llm
  [NeurIPS 2024] Search for Efficient LLMs
  ☆12Updated 2 months ago
• iamkanghyunchoi / ait
  It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher [CVPR 2022 Oral]
  ☆29Updated 2 years ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆31Updated last year
• htqin / DSG
  This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…
  ☆13Updated 2 years ago
• chenbong / PSS-Net
  ☆16Updated 2 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
• MAC-AutoML / ITPruner
  ☆23Updated 3 years ago
• yuchaoli / CC
  Towards Compact CNNs via Collaborative Compression
  ☆11Updated 2 years ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆52Updated 2 years ago
• Daner-Wang / VTC-LFC
  ☆26Updated 2 years ago
• HuangOwen / Quantization-Variation
  [TMLR] Official PyTorch implementation of paper "Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precisio…
  ☆42Updated 5 months ago
• ZiweiWangTHU / GMPQ
  This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…
  ☆25Updated 3 years ago
• sunggo / APIB
  Code for ICCV23 paper "Automatic network pruning via Hilbert Schmidt independence criterion lasso under information bottleneck principle"
  ☆18Updated last year
• lmbxmu / 1xN
  Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks
  ☆44Updated 2 years ago
• Intelligent-Computing-Lab-Yale / TesseraQ
  ☆19Updated 4 months ago
• iamkanghyunchoi / qimera
  Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]
  ☆31Updated 3 years ago
• Yanqi-Chen / LATS
  To appear in the 11th International Conference on Learning Representations (ICLR 2023).
  ☆16Updated 2 years ago