Alternatives and similar repositories for ONNX_Convertor

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

• ArtyZe / yolo_quantization
  Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"
  ☆64Updated 4 years ago
• hey-yahei / Quantization.MXNet
  Simulate quantization and quantization aware training for MXNet-Gluon models.
  ☆46Updated 5 years ago
• foss-for-synopsys-dwc-arc-processors / synopsys-caffe
  Additions and patches to Caffe framework for use with Synopsys DesignWare EV Family of Processors
  ☆22Updated 7 months ago
• cwlacewe / netscope
  This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope
  ☆41Updated 7 years ago
• zym1119 / Merge_BN
  Merge convolution and batchnorm layers in both Caffe and PyTorch using Python
  ☆18Updated 6 years ago
• ChenShisen / ncnnqat
  quantize aware training package for NCNN on pytorch
  ☆70Updated 3 years ago
• kentaroy47 / benchmark-FP32-FP16-INT8-with-TensorRT
  Benchmark inference speed of CNNs with various quantization methods in Pytorch+TensorRT with Jetson Nano/Xavier
  ☆56Updated 2 years ago
• jack-willturner / pytorch-onnx-tvm
  PyTorch -> ONNX -> TVM for autotuning
  ☆24Updated 5 years ago
• deepglint / eq-ncnn
  ☆42Updated 4 years ago
• eric612 / Yolo-Model-Zoo
  ☆34Updated 6 years ago
• Ironteen / YOLOv3-quantization-model-v1.0
  YOLOv3 quantization model v10, only for quantization off-line
  ☆21Updated 5 years ago
• irvingzhang0512 / tvm_tests
  ☆17Updated 4 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 4 years ago
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆81Updated 2 years ago
• WePCf / darknet-mobilenet-v2
  Darknet for MobileNet v2
  ☆81Updated 6 years ago
• zhujingyang520 / caffe-quantization
  Added quantization layer into caffe (support a coarse level fixed point simulation)
  ☆22Updated 8 years ago
• eezywu / Pruned-MobileNet_v2
  Apply the pruning strategy for MobileNet_v2
  ☆51Updated 6 years ago
• zhenhuaw-me / qnnpack
  Explained QNNPACK Implementation
  ☆20Updated 5 years ago
• cap-lab / S3NAS
  Fast NPU-aware Neural Architecture Search
  ☆22Updated 3 years ago
• caslabai / yolov3tiny_tensorflow_int8_quantized
  yolov3_tiny implement on tensoeflow for int8 quantization (tflite)
  ☆29Updated 6 years ago
• zhangjinsong3 / YOLO-V3-Acceleration
  Using TensorRT to implement and accelerate YOLO v3. Multi-scale and NMS are included. The acceleration ratio reaches 3 compared to the o…
  ☆43Updated 6 years ago
• leimao / PyTorch-Static-Quantization
  PyTorch Static Quantization Example
  ☆38Updated 4 years ago
• wangshankun / rcnn-optimize
  fastercnn modules optimize
  ☆2Updated last year
• jeetkanjani7 / Parallel_NMS
  Parallel CUDA implementation of NON maximum Suppression
  ☆79Updated 4 years ago
• mynotwo / yolov3_tensorRT_int8_calibration
  This repository provides a sample to run yolov3 on int8 mode in tensorRT
  ☆26Updated 5 years ago
• merrymercy / tvm-mali
  Optimizing Mobile Deep Learning on ARM GPU with TVM
  ☆181Updated 6 years ago
• ChriswooTalent / Yolo_on_Caffe
  Yolo(including yolov1 yolov2 yolov3)running on caffe windows. Anyone that is not familiar with linux can use this project to learn caffe …
  ☆17Updated 6 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
• PerfXLab / caffe_perfdnn
  Caffe: a fast open framework for deep learning.
  ☆7Updated 7 years ago
• MirrorYuChen / tvm_insightface
  face recognize based on tvm
  ☆20Updated 5 years ago