Alternatives and similar repositories for nn-Meter

Users that are interested in nn-Meter are comparing it to the libraries listed below

• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆453Updated 2 years ago
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆400Updated 4 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated 2 years ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆200Updated 3 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆264Updated 2 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆281Updated last year
• aojunzz / NM-sparsity
  ☆244Updated 3 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆250Updated last year
• ucbrise / actnn
  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
  ☆198Updated 3 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆287Updated 4 years ago
• ModelTC / NNLQP
  ☆37Updated 3 years ago
• mit-han-lab / amc
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆449Updated 2 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆855Updated 9 months ago
• GATECH-EIC / HW-NAS-Bench
  [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
  ☆114Updated 2 years ago
• A-suozhang / awesome-quantization-and-fixed-point-training
  Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design
  ☆160Updated 5 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆169Updated 2 years ago
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆83Updated 2 years ago
• csyhhu / Awesome-Deep-Neural-Network-Compression
  Summary, Code for Deep Neural Network Quantization
  ☆559Updated 7 months ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆159Updated 5 years ago
• walkerning / aw_nas
  aw_nas: A Modularized and Extensible NAS Framework
  ☆252Updated last month
• csu-eis / CoDL
  ☆78Updated 2 years ago
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆543Updated 2 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆93Updated 3 years ago
• Kyrie-Zhao / awesome-real-time-AI
  This is a list of awesome edgeAI inference related papers.
  ☆98Updated 2 years ago
• microsoft / nnfusion
  A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
  ☆1,005Updated last year
• Qualcomm-AI-research / transformer-quantization
  ☆208Updated 4 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆309Updated last year
• idstcv / ZenNAS
  ☆230Updated 4 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆355Updated 2 years ago