Alternatives and similar repositories for expandnets:

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

• ofsoundof / dhp
  This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
  ☆59Updated 2 years ago
• DeadAt0m / ActiveSparseShifts-PyTorch
  Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)
  ☆34Updated 3 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆63Updated 2 years ago
• colorjam / PAMS
  PArameterized Max Scale
  ☆58Updated 3 years ago
• Spark001 / AsymmNet
  [MAI@CVPR 2021] AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks.
  ☆27Updated 9 months ago
• SYSU-SAIL / LLT
  [CVPR 2022] Learnable Lookup Table for Neural Network Quantization
  ☆39Updated 2 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 3 years ago
• billhhh / FQSR
  Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".
  ☆19Updated 3 years ago
• wuyushuwys / compiler-aware-nas-sr
  [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution
  ☆26Updated 2 years ago
• njulj / AdaDM
  AdaDM: Enabling Normalization for Image Super-Resolution
  ☆60Updated 3 years ago
• perrying / guided-filter-pytorch
  PyTorch implementation of Guided Image Filtering
  ☆37Updated 4 years ago
• Zx55 / dmcp
  ☆120Updated 4 years ago
• MingSun-Tse / ASSL
  [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)
  ☆60Updated 2 years ago
• mlvc-lab / SuperResolution-NAS
  ☆10Updated 4 years ago
• ofsoundof / learning_filter_basis
  Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019
  ☆18Updated 2 years ago
• hunto / DyRep
  Official implementation for paper "DyRep: Bootstrapping Training with Dynamic Re-parameterization", CVPR 2022
  ☆44Updated 2 years ago
• hkzhang-git / HiNAS
  ☆15Updated last year
• zysxmu / DDTB
  Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networ…
  ☆28Updated 2 years ago
• MingSun-Tse / SRP
  [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"
  ☆27Updated 2 years ago
• Ironteen / Batch-Normalization-fusion
  Batch Normalization Auto-fusion for PyTorch
  ☆32Updated 4 years ago
• meijieru / yet_another_mobilenet_series
  Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation
  ☆64Updated 4 years ago
• Daniil-Osokin / fully-learnable-group-convolution.pytorch
  Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
  ☆33Updated 4 years ago
• aiff22 / MAI-2021-Workshop
  MAI 2021 Workshop
  ☆42Updated 3 years ago
• JaminFong / dali-pytorch
  A PyTorch toolkit for extremely fast ImageNet training with NVIDIA DALI.
  ☆51Updated 4 years ago
• sanghyun-son / ntire-2020-deblur-mobile
  NTIRE 2020 Image Deblurring Challenge: Track 2 on Smartphone
  ☆48Updated 4 years ago
• JiaxiongQ / SlimConv
  Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)
  ☆18Updated 2 years ago
• XinyiYing / SAM
  Repository for "A Stereo Attention Module for Stereo Image Super-Resolution ", SPL, 2020
  ☆48Updated 2 years ago
• pnavarre / eSR
  edge-SR: Super-Resolution For The Masses
  ☆59Updated 3 years ago
• Qualcomm-AI-research / Skip-Conv
  ☆76Updated 3 years ago
• guoyongcs / HNAS-SR
  HNAS: Hierarchical Neural Architecture Search for Single Image Super-Resolution
  ☆58Updated 4 years ago