Alternatives and similar repositories for FTWT

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

• Hao840 / vanillaKD
  PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781
  ☆76Updated last year
• hunto / DyRep
  Official implementation for paper "DyRep: Bootstrapping Training with Dynamic Re-parameterization", CVPR 2022
  ☆43Updated 3 years ago
• hunto / image_classification_sota
  Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
  ☆85Updated last year
• NVlabs / SMCP
  ☆22Updated 3 years ago
• Ben-Louis / FisherPruning-Pytorch
  An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch and mmcv
  ☆18Updated 3 years ago
• lmbxmu / 1xN
  Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks
  ☆41Updated 3 years ago
• hikvision-research / SAViT
  ☆13Updated 2 years ago
• szq0214 / S2-BNN
  S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
  ☆64Updated 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…
  ☆77Updated 2 years ago
• JiaxiongQ / SlimConv
  Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)
  ☆18Updated 2 years ago
• lmbxmu / SuperViT
  Official Pytorch implementation of Super Vision Transformer (IJCV)
  ☆43Updated 2 years ago
• bestfleer / RepNAS
  Code for RepNAS
  ☆13Updated 3 years ago
• bytedance / MRECG
  ☆36Updated 2 years ago
• MingSun-Tse / TPP
  [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
  ☆33Updated 2 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆23Updated 4 years ago
• megvii-research / TPS-CVPR2023
  ☆47Updated 2 years ago
• facebookresearch / DepthShrinker
  [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …
  ☆72Updated 3 years ago
• 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
• Akimoto-Cris / RD_PRUNE
  [ICCV 2023] Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks
  ☆25Updated last year
• chenbong / PSS-Net
  ☆17Updated 3 years ago
• MingSun-Tse / Regularization-Pruning
  [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
  ☆82Updated 4 years ago
• ModelTC / L2_Compression
  ☆13Updated last year
• UCDvision / sima
  Official implementation for "SimA: Simple Softmax-free Attention for Vision Transformers"
  ☆45Updated last year
• ofsoundof / random_channel_pruning
  ☆17Updated 3 years ago
• zju-vipa / spot-adaptive-pytorch
  ☆24Updated 3 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆65Updated 3 years ago
• pprp / CVPR2022-NAS-competition-Track1-3th-solution
  Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23
  ☆22Updated 2 years ago
• cvlab-yonsei / DAQ
  An official PyTorch implementation of the paper "Distance-aware Quantization", ICCV 2021.
  ☆48Updated 11 months ago
• chenbong / awesome-compression-papers
  Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc
  ☆25Updated 5 years ago
• HuangOwen / QAT-ACS
  [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆34Updated last year