clevercool / SQuant

Related projects: ⓘ

• clevercool / TileSparsity
  ☆140Updated 3 years ago
• fxmeng / Pruning-Filter-in-Filter
  Pruning Filter in Filter(NeurIPS2020)
  ☆167Updated 6 months ago
• ZLkanyo009 / MQBench_Quantize
  QAT(quantize aware training) for classification with MQBench
  ☆35Updated 2 years ago
• OPTML-Group / BiP
  [NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Min…
  ☆141Updated last year
• Ptolemy-DL / Ptolemy
  ☆120Updated 3 years ago
• xiexi51 / ICCAD-Accel-GCN
  Official Implementation of "Accel-GNN: High-Performance GPU Accelerator Design for Graph Neural Networks"
  ☆67Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆96Updated 2 years ago
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago
• htqin / BiBench
  [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…
  ☆54Updated 6 months ago
• BillAmihom / RAPQ
  Pytorch implementation of RAPQ, IJCAI 2022
  ☆21Updated last year
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆46Updated 2 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆107Updated last year
• xiexi51 / MaxK-GNN
  Official implementation of "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training"
  ☆50Updated 6 months ago
• Zhen-Dong / BitPack
  BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
  ☆49Updated last year
• lmbxmu / 1xN
  Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks
  ☆43Updated 2 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆32Updated last year
• Qualcomm-AI-research / oscillations-qat
  ☆67Updated 2 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆66Updated 2 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆35Updated 3 years ago
• 1hunters / LIMPQ
  Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022
  ☆44Updated last year
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆31Updated 2 years ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆49Updated last year
• HuangOwen / QAT-ACS
  Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"
  ☆25Updated last month
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆38Updated 11 months ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆31Updated last year
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆77Updated last year
• aojunzz / DominoSearch
  ☆18Updated 2 years ago
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆28Updated 3 years ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆112Updated 2 years ago
• FLHonker / ZAQ-code
  CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)
  ☆65Updated 2 years ago