[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)
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Apr 5, 2022 - Python
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neural-network-pruning
Here are 11 public repositories matching this topic...
[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
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Oct 10, 2023
A generic code base for neural network pruning, especially for pruning at initialization.
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Sep 3, 2022 - Python
Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML'24)
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Aug 15, 2024 - Python
[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"
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Feb 18, 2023 - Python
Code for testing DCT plus Sparse (DCTpS) networks
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Jun 15, 2021 - Python
Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)
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Jul 11, 2024 - Python
Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
deep-neural-networks sparsity deep-learning neural-network tensorflow pruning deeplearning celeba celeba-dataset tensorflow-lite tflite sparsity-optimization model-optimization neural-network-pruning tracker-misc
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Jun 4, 2021 - Python
PyTorch models optimization by neural network pruning
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Apr 17, 2022 - Python
pruning audio-classification model-compression neural-network-compression sparsification model-optimization neural-network-pruning
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Sep 14, 2022 - Python
Laboratories and group projects about Neural Networks altered by means of quantization and pruning techniques in order to deploy them on embedded hardware.
mqtt raspberry-pi iot microservices deep-learning neural-network embedded-systems rest-server neural-network-quantization neural-network-pruning
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Sep 2, 2021 - Python
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