Alternatives and similar repositories for sampleQAT

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

• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• leimao / PyTorch-Quantization-Aware-Training
  PyTorch Quantization Aware Training Example
  ☆136Updated last year
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆93Updated 7 months ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆34Updated 3 years ago
• tlc-pack / TLCBench
  Benchmark scripts for TVM
  ☆74Updated 3 years ago
• ModelTC / Dipoorlet
  Offline Quantization Tools for Deploy.
  ☆129Updated last year
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 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
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆97Updated 4 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆149Updated 2 years ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆276Updated 3 years ago
• MegEngine / mgeconvert
  MegEngine到其他框架的转换器
  ☆70Updated 2 years ago
• fumihwh / onnx-pytorch
  A code generator from ONNX to PyTorch code
  ☆138Updated 2 years ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆200Updated 3 years ago
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated last year
• TrojanXu / onnxparser-trt-plugin-sample
  A sample for onnxparser working with trt user defined plugins for TRT7.0
  ☆168Updated 4 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆69Updated 2 years ago
• tpoisonooo / chgemm
  symmetric int8 gemm
  ☆66Updated 5 years ago
• ModelTC / NART
  NART = NART is not A RunTime, a deep learning inference framework.
  ☆37Updated 2 years ago
• leimao / PyTorch-Static-Quantization
  PyTorch Static Quantization Example
  ☆38Updated 4 years ago
• Archermmt / tvm_walk_through
  code reading for tvm
  ☆76Updated 3 years ago
• ChenShisen / ncnnqat
  quantize aware training package for NCNN on pytorch
  ☆70Updated 3 years ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆91Updated last year
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆69Updated 3 years ago
• MegEngine / examples
  A set of examples around MegEngine
  ☆31Updated last year
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago
• OpenPPL / ppl.kernel.cuda
  ☆36Updated 8 months ago
• jeetkanjani7 / Parallel_NMS
  Parallel CUDA implementation of NON maximum Suppression
  ☆79Updated 4 years ago
• aojunzz / NM-sparsity
  ☆236Updated 2 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago