Alternatives and similar repositories for DL-Theory-Practice:

Users that are interested in DL-Theory-Practice are comparing it to the libraries listed below

• pprp / PyTorch-CIFAR-Model-Hub
  Implementation of Conv-based and Vit-based networks designed for CIFAR.
  ☆71Updated 2 years ago
• Hao840 / vanillaKD
  PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781
  ☆74Updated last year
• wilile26811249 / MobileViT
  Unofficial PyTorch implementation of MobileViT based on paper "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Trans…
  ☆120Updated 3 years ago
• ChengpengChen / RepGhost
  RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
  ☆175Updated last year
• hunto / image_classification_sota
  Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
  ☆82Updated last year
• HankYe / PAGCP
  [T-PAMI'23] PAGCP for the compression of YOLOv5
  ☆116Updated 2 years ago
• hpi-xnor / BNext
  Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
  ☆68Updated 2 years ago
• fxmeng / RMNet
  RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is la…
  ☆211Updated last year
• DingXiaoH / ResRep
  ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)
  ☆294Updated 2 years ago
• hkzhang-git / ParC-Net
  [ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"
  ☆351Updated 2 years ago
• yanggui19891007 / Pytorch-Auto-Slim-Tools
  pytorch AutoSlim tools，支持三行代码对pytorch模型进行剪枝压缩
  ☆38Updated 4 years ago
• liaomingg / FasterNet
  A PyTorch implementation of FasterNet: Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
  ☆27Updated 2 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
• tangchen2 / Model-Compression
  Model Compression 1. Pruning(BN Pruning) 2. Knowledge Distillation (Hinton) 3. Quantization (MNN) 4. Deployment (MNN)
  ☆79Updated 4 years ago
• alibaba / lightweight-neural-architecture-search
  This is a collection of our zero-cost NAS and efficient vision applications.
  ☆414Updated last year
• ohmydroid / reducenet
  ☆40Updated last year
• micronDLA / MobileViTv3
  ☆244Updated 2 years ago
• szq0214 / FKD
  Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
  ☆186Updated 11 months ago
• hunto / MasKD
  Official implementation of paper "Masked Distillation with Receptive Tokens", ICLR 2023.
  ☆68Updated 2 years ago
• damo-cv / GiraffeDet
  ☆74Updated 3 years ago
• zju-vipa / spot-adaptive-pytorch
  ☆24Updated 2 years ago
• liangyn22 / MCUFormer
  [NeurIPS 2023] MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory
  ☆67Updated last year
• hunto / LightViT
  Official implementation for paper "LightViT: Towards Light-Weight Convolution-Free Vision Transformers"
  ☆139Updated 2 years ago
• CVHub520 / Convolution
  ☆96Updated 3 years ago
• yzd-v / MGD
  Masked Generative Distillation (ECCV 2022)
  ☆221Updated 2 years ago
• ososos888 / prune-then-distill
  ☆46Updated 2 years ago
• saic-fi / edgevit
  [ECCV 2022] EdgeViT: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
  ☆107Updated 2 years ago
• ma-xu / Rewrite-the-Stars
  [CVPR 2024] Rewrite the Stars
  ☆373Updated 11 months ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆88Updated last year
• VDIGPKU / DynamicDet
  [CVPR 2023] DynamicDet: A Unified Dynamic Architecture for Object Detection
  ☆122Updated last year