facebookresearch / DeltaCNN

Related projects: ⓘ

• facebookresearch / DepthShrinker
  [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …
  ☆69Updated 2 years ago
• mit-han-lab / sparsevit
  [CVPR'23] SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
  ☆59Updated 4 months ago
• ziplab / EcoFormer
  [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"
  ☆66Updated last year
• NVlabs / EfficientDL
  ☆30Updated 3 months ago
• VITA-Group / AsViT
  [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…
  ☆76Updated 2 years ago
• FocalNet / Networks-Beyond-Attention
  A compilation of network architectures for vision and others without usage of self-attention mechanism
  ☆77Updated last year
• UCDvision / sima
  Official implementation for "SimA: Simple Softmax-free Attention for Vision Transformers"
  ☆34Updated 5 months ago
• PeixianChen / DFFT
  ☆75Updated last year
• saic-fi / edgevit
  [ECCV 2022] EdgeViT: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
  ☆97Updated last year
• NVlabs / HALP
  ☆56Updated last year
• SteveTsui / Q-DETR
  ☆27Updated last year
• SamsungLabs / EdgeViTs
  [ECCV 2022] EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers
  ☆13Updated 2 years ago
• ZiweiWangTHU / Quantformer
  This is the official pytorch implementation for the paper: *Quantformer: Learning Extremely Low-precision Vision Transformers*.
  ☆18Updated last year
• lmbxmu / SuperViT
  Official Pytorch implementation of Super Vision Transformer (IJCV)
  ☆42Updated last year
• liuzhuang13 / anytime
  Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)
  ☆48Updated 3 weeks ago
• facebookresearch / NASViT
  code for NASViT
  ☆66Updated 2 years ago
• ziplab / Mesa
  This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".
  ☆118Updated 2 years ago
• NVlabs / mask-auto-labeler
  ☆158Updated last year
• andyrull / width-and-Depth-pruning-for-Vision-Transformer
  ☆16Updated 2 years ago
• ziplab / QTool
  Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
  ☆68Updated 2 years ago
• Qualcomm-AI-research / Skip-Conv
  ☆74Updated 3 years ago
• princeton-vl / SOLID
  ☆41Updated 2 years ago
• fawazsammani / awesome-mlp-mixer
  Transformers w/o Attention, based fully on MLPs
  ☆85Updated 5 months ago
• facebookresearch / Generic-Grouping
  Open-source code for Generic Grouping Network (GGN, CVPR 2022)
  ☆110Updated 5 months ago
• TomerRonen34 / mixed-resolution-vit
  ☆48Updated 11 months ago
• Sharath-girish / LilNetX
  Official PyTorch implementation of LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
  ☆44Updated 2 years ago
• vlfom / RNCDL
  [NeurIPS 2022] The official implementation of "Learning to Discover and Detect Objects".
  ☆107Updated last year
• OliverRensu / DeepMIM
  ☆52Updated last year
• Juanerx / Q-DiT
  PyTorch code for Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆27Updated 2 weeks ago
• snap-research / efficient-nn-tutorial
  Page for the CVPR 2023 Tutorial - Efficient Neural Networks: From Algorithm Design to Practical Mobile Deployments
  ☆13Updated last year