Alternatives and similar repositories for DominoSearch

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

• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆42Updated 4 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• ChengZhang-98 / llm-mixed-q
  Official implementation of EMNLP'23 paper "Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?"
  ☆24Updated 2 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆77Updated 10 months ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 4 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆78Updated 3 years ago
• zhexinli / Q-ViT-DeiT
  DeiT implementation for Q-ViT
  ☆25Updated 8 months ago
• clevercool / ANT-Quantization
  ☆113Updated 2 years ago
• hsharma35 / bitfusion
  Simulator for BitFusion
  ☆102Updated 5 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆139Updated 5 years ago
• deJQK / FracBits
  Neural Network Quantization With Fractional Bit-widths
  ☆11Updated 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
• aojunzz / NM-sparsity
  ☆243Updated 3 years ago
• sfox14 / block_minifloat
  Training with Block Minifloat number representation
  ☆18Updated 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
• jeffreyyu0602 / quantized-training
  ☆33Updated last week
• GATECH-EIC / ViTCoD
  [HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆125Updated 2 years ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆60Updated 2 years ago
• isakedo / DNNsim
  ☆35Updated 5 years ago
• hqjenny / CoDeNet
  ☆19Updated 4 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 4 years ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆49Updated 3 years ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆58Updated 2 years ago
• fffasttime / AnyPackingNet
  ☆31Updated 8 months ago
• jha-lab / acceltran
  [TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
  ☆54Updated 2 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆35Updated 2 years ago
• jmluu / Awesome-Efficient-Training
  A collection of research papers on efficient training of DNNs
  ☆70Updated 3 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆307Updated last year
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 3 years ago