Alternatives and similar repositories for sampleQAT

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

• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆94Updated last year
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆144Updated last year
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆263Updated 2 years ago
• ModelTC / Dipoorlet
  Offline Quantization Tools for Deploy.
  ☆141Updated last year
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆36Updated 3 years ago
• masahi / torchscript-to-tvm
  ☆68Updated 2 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
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 5 years ago
• leimao / PyTorch-Static-Quantization
  PyTorch Static Quantization Example
  ☆38Updated 4 years ago
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆465Updated last week
• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆141Updated 2 years ago
• deepglint / EasyQuant
  EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…
  ☆404Updated 2 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• tlc-pack / TLCBench
  Benchmark scripts for TVM
  ☆74Updated 3 years ago
• ModelTC / NART
  NART = NART is not A RunTime, a deep learning inference framework.
  ☆37Updated 2 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆69Updated 2 years ago
• ynahshan / nn-quantization-pytorch
  ☆57Updated 4 years ago
• ModelTC / mqbench-paper
  ☆44Updated 4 years ago
• ModelTC / NNLQP
  ☆36Updated 3 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• MegEngine / examples
  A set of examples around MegEngine
  ☆31Updated last year
• aojunzz / NM-sparsity
  ☆243Updated 3 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 3 years ago
• ChenShisen / ncnnqat
  quantize aware training package for NCNN on pytorch
  ☆69Updated 4 years ago
• Tencent / TPAT
  TensorRT Plugin Autogen Tool
  ☆368Updated 2 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆181Updated 6 years ago
• BBuf / how-to-optimize-gemm
  ☆98Updated 4 years ago
• MegEngine / mgeconvert
  MegEngine到其他框架的转换器
  ☆70Updated 2 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆280Updated last year
• Qualcomm-AI-research / FP8-quantization
  ☆163Updated 2 years ago