Finding Storage- and Compute-Efficient Convolutional Neural Networks
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Updated
Dec 8, 2022 - Python
Finding Storage- and Compute-Efficient Convolutional Neural Networks
NeurIPS 2019 MicroNet Challenge
compares different pretrained object classification with per-layer and per-channel quantization using pytorch
Quantization (post-training quantization) your (custom mobilenet_v2) models .h5 or .pb models using TensorFlow Lite 2.4
Weight quantization
Training neural nets with quantized weights on arbitrarily specified bit-depth
🌩 Light weight model quantization tool
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