Topic: sparse-neural-networks Goto Github
Some thing interesting about sparse-neural-networks
Some thing interesting about sparse-neural-networks
sparse-neural-networks,PyTorch Implementation of TopKAST
User: a-klass
sparse-neural-networks,Characterization study repository for pruning, a popular way to compress a DL model. this repo also investigates optimal sparse tensor layouts for pruned nets
Organization: amikom-gace-research-group
sparse-neural-networks,Github page for SSDFA
User: bcrafton
sparse-neural-networks,Offical implementation of "Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition" (Neural Networks 2023)
User: biclab
Home Page: https://www.sciencedirect.com/science/article/abs/pii/S0893608023003660
sparse-neural-networks,Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
User: brosnanyuen
sparse-neural-networks,Sparse Matrix Library for GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
User: brosnanyuen
sparse-neural-networks,Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
Organization: cambridge-mlg
sparse-neural-networks,Neural Network Sparsification via Pruning
User: danieleftekhari
sparse-neural-networks,Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
User: dcmocanu
Home Page: https://www.nature.com/articles/s41467-018-04316-3
sparse-neural-networks,Easily create and optimize PyTorch networks as in the Deep Rewiring paper (https://igi-web.tugraz.at/PDF/241.pdf). Install using 'pip install deep_rewire'
Organization: efficient-scalable-machine-learning
sparse-neural-networks,Event-based neural networks
Organization: efficient-scalable-machine-learning
Home Page: https://arxiv.org/abs/2206.06178
sparse-neural-networks,[IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola Pechenizkiy, and Peter Stone.
User: ghadasokar
sparse-neural-networks,Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
User: ghadasokar
sparse-neural-networks,Simple C++ implementation of a sparsely connected multi-layer neural network using OpenMP and CUDA for parallelization.
User: guyez
sparse-neural-networks,Code for testing DCT plus Sparse (DCTpS) networks
User: ilanprice
sparse-neural-networks,Demo code for CVPR2023 paper "Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers"
User: lim142857
Home Page: https://lim142857.github.io/lim142857.github.io-sparsifiner/
sparse-neural-networks,GPU Computing course project
User: marwannour
sparse-neural-networks,Master's Thesis Project - Lottery Tickets contain independent subnetworks when trained on independent tasks.
User: mx-mn
sparse-neural-networks,My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated
User: nanowell
sparse-neural-networks,Robustness of Sparse Multilayer Perceptrons for Supervised Feature Selection
User: neilkichler
sparse-neural-networks,A neural net with a terminal-based testing program.
User: surrealvectors
sparse-neural-networks,[ICLR 2022] "Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently", by Xiaohan Chen, Jason Zhang and Zhangyang Wang.
Organization: vita-group
Home Page: https://openreview.net/forum?id=moHCzz6D5H3
sparse-neural-networks,[ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang
Organization: vita-group
sparse-neural-networks,[ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, AJAY KUMAR JAISWAL, Zhangyang Wang
Organization: vita-group
Home Page: https://openreview.net/forum?id=J6F3lLg4Kdp
sparse-neural-networks,[Machine Learning Journal (ECML-PKDD 2022 journal track)] A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
User: zahraatashgahi
Home Page: https://arxiv.org/pdf/1903.07138.pdf
sparse-neural-networks,[TMLR] Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
User: zahraatashgahi
Home Page: https://openreview.net/forum?id=GcO6ugrLKp
sparse-neural-networks,[ECAI 2024] Unveiling the Power of Sparse Neural Networks for Feature Selection
User: zahraatashgahi
Home Page: https://arxiv.org/pdf/2408.04583
sparse-neural-networks,[ECML-PKDD 2024] Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
User: zahraatashgahi
Home Page: https://arxiv.org/abs/2305.18382
sparse-neural-networks,[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
User: zahraatashgahi
Home Page: https://arxiv.org/abs/2012.00560
sparse-neural-networks,This is the repository for the SNN-22 Workshop paper on "Generalization and Memorization in Sparse Neural Networks".
User: ziyu-deep
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