Soft Filter PruningSoft Filter Pruning for Accelerating Deep Convolutional Neural Networks
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Mutual labels: model-compression
LightctrLightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
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Mutual labels: model-compression
Model OptimizationA toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
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Mutual labels: model-compression
Amc[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
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Mutual labels: model-compression
Ghostnet.pytorch[CVPR2020] GhostNet: More Features from Cheap Operations
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Mutual labels: model-compression
Awesome Automl And Lightweight ModelsA 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.
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Mutual labels: model-compression
Knowledge Distillation ZooPytorch implementation of various Knowledge Distillation (KD) methods.
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Mutual labels: model-compression
Knowledge Distillation PytorchA PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
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Mutual labels: model-compression
Filter Pruning Geometric MedianFilter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
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Mutual labels: model-compression
BipointnetThis project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.
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Mutual labels: model-compression
Model Compression PapersPapers for deep neural network compression and acceleration
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Mutual labels: model-compression
CompressCompressing Representations for Self-Supervised Learning
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Mutual labels: model-compression
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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Mutual labels: model-compression
PaddleslimPaddleSlim is an open-source library for deep model compression and architecture search.
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Mutual labels: model-compression
Keras model compressionModel Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"
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Mutual labels: model-compression
Awesome PruningA curated list of neural network pruning resources.
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Mutual labels: model-compression
Channel PruningChannel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
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Mutual labels: model-compression