Alternatives and similar repositories for qat:

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

• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆128Updated 8 months ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆34Updated last year
• Qualcomm-AI-research / FP8-quantization
  ☆134Updated last year
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆80Updated 2 years ago
• skmhrk1209 / QuanTorch
  PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆55Updated 5 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆48Updated 3 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆96Updated 3 years ago
• aojunzz / NM-sparsity
  ☆220Updated 2 years ago
• masahi / torchscript-to-tvm
  ☆69Updated last year
• Qualcomm-AI-research / transformer-quantization
  ☆197Updated 3 years ago
• ModelTC / Dipoorlet
  Offline Quantization Tools for Deploy.
  ☆123Updated last year
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆262Updated 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
• 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…
  ☆49Updated 9 months ago
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆24Updated 3 years ago
• marsupialtail / gpu-sparsert
  ☆17Updated 4 years ago
• kssteven418 / Q-ASR
  [ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition
  ☆31Updated 3 years ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆86Updated last year
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆197Updated 2 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆33Updated 3 years ago
• lenLRX / AmpereSparseMatmul
  study of Ampere' Sparse Matmul
  ☆16Updated 4 years ago
• BBuf / how-to-optimize-gemm
  ☆95Updated 3 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated last year
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆88Updated 11 months ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆121Updated 2 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆68Updated 3 years ago
• lswzjuer / pytorch-quantity
  An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)
  ☆33Updated 5 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆260Updated last year
• ModelTC / NNLQP
  ☆34Updated 2 years ago