Alternatives and similar repositories for FracBits

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

• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• GATECH-EIC / Auto-NBA
  [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…
  ☆16Updated 3 years ago
• zhutmost / neuralzip
  A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…
  ☆26Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 4 years ago
• aojunzz / DominoSearch
  ☆19Updated 3 years ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 2 months ago
• z-hXu / ReCU
  Pytorch implementation of our paper accepted by ICCV 2021 -- ReCU: Reviving the Dead Weights in Binary Neural Networks http://arxiv.org/a…
  ☆39Updated 3 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• rhhc / ZeroQ-MP
  [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework
  ☆14Updated 4 years ago
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆35Updated 3 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆36Updated last year
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• fffasttime / AnyPackingNet
  ☆27Updated 2 months ago
• jgoeders / dac_sdc_2020
  DAC System Design Contest 2020
  ☆29Updated 5 years ago
• deJQK / AdaBits
  ☆39Updated 2 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 2 years ago
• hsharma35 / bitfusion
  Simulator for BitFusion
  ☆100Updated 4 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• zqu1992 / ALQ
  ☆15Updated 2 years ago
• PannenetsF / TQT
  TQT's pytorch implementation.
  ☆21Updated 3 years ago
• Qualcomm-AI-research / BayesianBits
  ☆20Updated 3 years ago
• charbel-sakr / Fixed-Point-Training
  Code needed to reproduce results from my ICLR 2019 paper on fixed-point quantization of the backprop algorithm.
  ☆10Updated 6 years ago
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆60Updated 5 years ago
• GATECH-EIC / torchshiftadd
  An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
  ☆13Updated 4 months ago
• MXHX7199 / ICCV_2021_AFP
  AFP is a hardware-friendly quantization framework for DNNs, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆12Updated 3 years ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆17Updated 2 years ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆56Updated 2 years ago