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666DZY666 / model-compression

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model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

pytorch pruning convolutional-networks quantization xnor-net model-compression bnn neuromorphic-computing group-convolution network-in-network dorefa twn network-slimming integer-arithmetic-only quan-batch-normalization-folding quantization-aware-training
  • Updated Jul 27, 2020
  • Python

guan-yuan / awesome-AutoML-and-Lightweight-Models

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A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

tensorflow pytorch hyperparameter-optimization awesome-list quantization nas automl model-compression neural-architecture-search meta-learning architecture-search quantized-training model-acceleration automated-feature-engineering quantized-neural-network
  • Updated Apr 16, 2020

blue-oil / blueoil

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PINTO0309 / PINTO_model_zoo

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A repository that shares tuning results of trained models generated by Tensorflow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. OpenVINO. CoreML. Tensorflow.js

tensorflow dbface quantization super-resolution bert coreml posenet sound-classification tensorflow-lite deeplabv3 tensorflowjs openvino edgetpu mobilenetv3 mediapipe blazeface efficientdet facemesh objectron blazepose
  • Updated Sep 1, 2020
  • Python

openvinotoolkit / nncf_pytorch

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