Alternatives and similar repositories for awesome-qat

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

• ChenShisen / ncnnqat
  quantize aware training package for NCNN on pytorch
  ☆70Updated 3 years ago
• BBuf / ArmNeonOptimization
  arm-neon
  ☆90Updated 10 months ago
• tpoisonooo / chgemm
  symmetric int8 gemm
  ☆66Updated 4 years ago
• Ranking666 / Base-quantization
  base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc
  ☆45Updated 2 years ago
• aovoc / nnieqat-pytorch
  A nnie quantization aware training tool on pytorch.
  ☆239Updated 4 years ago
• BBuf / onnx2X
  ONNX2Pytorch
  ☆162Updated 4 years ago
• ModelTC / Dipoorlet
  Offline Quantization Tools for Deploy.
  ☆128Updated last year
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆81Updated 2 years ago
• OAID / Tengine-Convert-Tools
  Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.
  ☆93Updated 3 years ago
• BBuf / onnx_learn
  ☆99Updated 3 years ago
• ArtyZe / yolo_quantization
  Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆64Updated 4 years ago
• eleflea / PQDet
  One stage object detection model based on YOLOv3, written in PyTorch.
  ☆9Updated 2 years ago
• gesanqiu / SNPE_Tutorial
  A simple tutorial of SNPE.
  ☆172Updated 2 years ago
• MegEngine / examples
  A set of examples around MegEngine
  ☆31Updated last year
• BBuf / how-to-optimize-gemm
  ☆96Updated 3 years ago
• ModelTC / NART
  NART = NART is not A RunTime, a deep learning inference framework.
  ☆37Updated 2 years ago
• BUG1989 / ncnn
  ncnn is a high-performance neural network inference framework optimized for the mobile platform
  ☆14Updated 3 years ago
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆136Updated last year
• deepglint / EasyQuant
  EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…
  ☆400Updated 2 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
• MegEngine / mgeconvert
  MegEngine到其他框架的转换器
  ☆69Updated 2 years ago
• dingyuqing05 / trt2022_wenet
  ☆71Updated 2 years ago
• caishanli / pyncnn
  python wrapper of ncnn with pybind11
  ☆72Updated 4 years ago
• hey-yahei / Quantization.MXNet
  Simulate quantization and quantization aware training for MXNet-Gluon models.
  ☆46Updated 5 years ago
• Ironteen / YOLOv3-quantization-model-v1.0
  YOLOv3 quantization model v10, only for quantization off-line
  ☆21Updated 5 years ago
• AI-performance / embedded-ai.bench
  benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
  ☆204Updated 4 years ago
• Zhengtq / ncnn_breakdown
  A breakdown of NCNN
  ☆46Updated 4 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆35Updated last year
• bindog / onnx-surgery
  ☆80Updated 4 years ago
• lyuchuny3 / Tengine_gemm_tutorial
  Tengine gemm tutorial, step by step
  ☆13Updated 4 years ago