Alternatives and similar repositories for actnn:

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

• aojunzz / NM-sparsity
  ☆220Updated 2 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆157Updated 4 years ago
• facebookresearch / AttentiveNAS
  code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
  ☆104Updated 3 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆275Updated last year
• kaiyuyue / torchshard
  Slicing a PyTorch Tensor Into Parallel Shards
  ☆298Updated 3 years ago
• jshilong / FisherPruning
  Group Fisher Pruning for Practical Network Compression(ICML2021)
  ☆156Updated last year
• idstcv / ZenNAS
  ☆224Updated 3 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆262Updated 3 years ago
• uwsampl / dtr-prototype
  Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616
  ☆132Updated last year
• zhijian-liu / torchprofile
  A general and accurate MACs / FLOPs profiler for PyTorch models
  ☆596Updated 9 months ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆197Updated 2 years ago
• facebookresearch / AlphaNet
  AlphaNet Improved Training of Supernet with Alpha-Divergence
  ☆97Updated 3 years ago
• jianweif / OptimalGradCheckpointing
  ☆40Updated 3 years ago
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago
• jwfromm / Riptide
  Simple Training and Deployment of Fast End-to-End Binary Networks
  ☆158Updated 3 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆260Updated last year
• walkerning / aw_nas
  aw_nas: A Modularized and Extensible NAS Framework
  ☆247Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆109Updated last year
• changlin31 / DS-Net
  (CVPR 2021, Oral) Dynamic Slimmable Network
  ☆228Updated 3 years ago
• LiuXiaoxuanPKU / GACT-ICML
  ☆41Updated 2 years ago
• megvii-model / SinglePathOneShot
  ☆262Updated 5 years ago
• MAC-AutoML / XNAS
  XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.
  ☆47Updated 2 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆96Updated 3 years ago
• NVlabs / Taylor_pruning
  Pruning Neural Networks with Taylor criterion in Pytorch
  ☆315Updated 5 years ago
• megvii-research / SSQL-ECCV2022
  PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)
  ☆75Updated last year
• GATECH-EIC / HW-NAS-Bench
  [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
  ☆109Updated last year
• VITA-Group / TENAS
  [ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, …
  ☆167Updated 3 years ago
• A-suozhang / awesome-quantization-and-fixed-point-training
  Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design
  ☆160Updated 4 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆128Updated 4 years ago