GitHub / 666DZY666 / micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

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Topics: batch-normalization-fuse, bnn, convolutional-networks, dorefa, group-convolution, integer-arithmetic-only, model-compression, network-in-network, network-slimming, neuromorphic-computing, onnx, post-training-quantization, pruning, pytorch, quantization, quantization-aware-training, tensorrt, tensorrt-int8-python, twn, xnor-net

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