Alternatives and similar repositories for TQT

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

• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆36Updated 2 years ago
• jgoeders / dac_sdc_2021
  ☆23Updated 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
• ModelTC / LPCV2021_Winner_Solution
  ☆28Updated 3 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆12Updated 4 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆99Updated 4 years ago
• jgoeders / dac_sdc_2020
  DAC System Design Contest 2020
  ☆29Updated 5 years ago
• rhhc / ZeroQ-MP
  [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework
  ☆14Updated 4 years ago
• os-hxfan / Static_BFP_CNN
  Static Block Floating Point Quantization for CNN
  ☆34Updated 4 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• xyzxinyizhang / 2019-DAC-System-Design-Contest
  ☆35Updated 6 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆50Updated last year
• jgoeders / dac_sdc_2021_designs
  ☆20Updated 3 years ago
• sfox14 / block_minifloat
  Training with Block Minifloat number representation
  ☆16Updated 4 years ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆17Updated 3 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆74Updated 4 years ago
• ynahshan / nn-quantization-pytorch
  ☆57Updated 4 years ago
• GATECH-EIC / torchshiftadd
  An open-sourced PyTorch library for developing energy efficient multiplication-less models and applications.
  ☆13Updated 6 months ago
• aojunzz / DominoSearch
  ☆19Updated 3 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆69Updated 3 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 5 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 3 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 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
• harvard-acc / EdgeBERT
  HW/SW co-design of sentence-level energy optimizations for latency-aware multi-task NLP inference
  ☆50Updated last year
• SHI-Labs / Any-Precision-DNNs
  Any-Precision Deep Neural Networks (AAAI 2021)
  ☆61Updated 5 years ago