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Mobile IdDeep Face Model Compression
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Ld NetEfficient Contextualized Representation: Language Model Pruning for Sequence Labeling
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Pretrained Language ModelPretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
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PaddleslimPaddleSlim is an open-source library for deep model compression and architecture search.
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HawqQuantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
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BitPackBitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
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NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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SViTE[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
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Micronetmicronet, 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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Auto-CompressionAutomatic DNN compression tool with various model compression and neural architecture search techniques
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Awesome PruningA curated list of neural network pruning resources.
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PocketflowAn Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
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DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
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Bert Of Theseus⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).
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