Alternatives and similar repositories for TQT

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

• jgoeders / dac_sdc_2020
  DAC System Design Contest 2020
  ☆29Updated 5 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆11Updated 4 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• zhutmost / neuralzip
  A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…
  ☆25Updated 3 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆35Updated 2 years ago
• jgoeders / dac_sdc_2021
  ☆23Updated 4 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 4 years ago
• ModelTC / LPCV2021_Winner_Solution
  ☆28Updated 4 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• 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
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated 2 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆42Updated 4 years ago
• xyzxinyizhang / 2019-DAC-System-Design-Contest
  ☆35Updated 6 years ago
• hqjenny / CoDeNet
  ☆19Updated 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 5 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆93Updated 3 years ago
• ynahshan / nn-quantization-pytorch
  ☆57Updated 5 years ago
• sfox14 / block_minifloat
  Training with Block Minifloat number representation
  ☆18Updated 4 years ago
• os-hxfan / Static_BFP_CNN
  Static Block Floating Point Quantization for CNN
  ☆37Updated 4 years ago
• hustzxd / ZeroQ-MP
  [CVPR'20] ZeroQ Mixed-Precision implementation (unofficial): A Novel Zero Shot Quantization Framework
  ☆14Updated 5 years ago
• jgoeders / dac_sdc_2021_designs
  ☆20Updated 3 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆78Updated 3 years ago
• Shunli-Wang / Tiny-YOLO-LSQ
  This is an implementation of YOLO using LSQ network quantization method.
  ☆22Updated 3 years ago
• mostafaelhoushi / DeepShift
  Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
  ☆114Updated 4 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• deJQK / AdaBits
  ☆41Updated 3 years ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 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 4 years ago
• huqinghao / PalQuant
  ☆12Updated 3 years ago