Alternatives and similar repositories for Dynamic_Model_Pruning_with_Feedback

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

• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆91Updated 2 years ago
• jaeho-lee / layer-adaptive-sparsity
  In progress.
  ☆64Updated last year
• chenhang98 / mobileNet-v2_cifar10
  a pytorch implement of mobileNet v2 on cifar10
  ☆62Updated 2 years ago
• iamkanghyunchoi / qimera
  Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]
  ☆33Updated 3 years ago
• mil-ad / snip
  Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
  ☆108Updated 6 years ago
• MingSun-Tse / Regularization-Pruning
  [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
  ☆83Updated 3 years ago
• cvlab-yonsei / EWGS
  An official implementation of "Network Quantization with Element-wise Gradient Scaling" (CVPR 2021) in PyTorch.
  ☆94Updated last year
• deJQK / AdaBits
  ☆39Updated 2 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆135Updated 4 years ago
• yueb17 / DLTH
  ☆30Updated 3 years ago
• yaozhewei / HAP
  ☆43Updated last year
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆60Updated 5 years ago
• EstherBear / implementation-of-pruning-filters
  A reproduction of PRUNING FILTERS FOR EFFICIENT CONVNETS
  ☆28Updated 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
• MingSun-Tse / Awesome-Pruning-at-Initialization
  [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
  ☆59Updated last year
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• xushoukai / GDFQ
  official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)
  ☆54Updated last year
• yousiki / PyTorch-FBS
  A PyTorch Implementation of Feature Boosting and Suppression
  ☆18Updated 4 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
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 2 years ago
• VITA-Group / SViTE
  [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…
  ☆90Updated last year
• VITA-Group / UVC
  [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…
  ☆53Updated last year
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆133Updated 5 years ago
• VITA-Group / GraNet
  [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
  ☆31Updated 2 years ago
• htqin / BiBERT
  This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
  ☆88Updated 2 years ago
• Roll920 / CURL
  PyTorch Implementation of CURL-Neural Network Pruning with Residual-Connections and Limited-Data
  ☆23Updated 5 years ago
• HayeonLee / HELP
  Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight…
  ☆63Updated 10 months ago
• Eclipsess / CHIP_NeurIPS2021
  Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).
  ☆37Updated 2 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆114Updated 6 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆73Updated 4 years ago