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24 search results found
Nfnets Pytorch
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316
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
Keras Fractalnet
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146
FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals
Stochastic_gradient_push
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141
Stochastic Gradient Push for Distributed Deep Learning
Fitting Random Labels
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118
Example code for the paper "Understanding deep learning requires rethinking generalization"
Enorm
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116
Equi-normalization of Neural Networks
Torchlars
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68
A LARS implementation in PyTorch
Signsgd
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48
Code for the signSGD paper
Sgd Influence
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47
Python codes for influential instance estimation
Pytorch Lr Dropout
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35
"Learning Rate Dropout" in PyTorch
Sparsifiedsgd
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31
Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
Hpn
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26
Hyperspherical Prototype Networks
Error Feedback Sgd
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24
SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
Mstn
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20
PyTorch reimplementation of Moving Semantic Transfer Network
Stochastic_bb
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20
Python implementation of SVRG-BB and SGD-BB algorithms
Chocosgd
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17
Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
Code For Asymmetric Valley
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8
This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".
Adamsrt
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8
Spherical Perspective on Learning with Batch Norm - New optimization schemes
Sgd_tail_index
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7
The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
Overlap_local_sgd
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7
Implementation of (overlap) local SGD in Pytorch
Nuqsgd
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5
PyTorch Code for the paper "NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization"
Ri Sgd
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5
Implementation of Redundancy Infused SGD for faster distributed SGD.
Compsumm
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5
Code and Datasets for AAAI paper "Comparative Document Summarisation via Classification"
Sgd Exponential Cosine Stepsize
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5
Implementation of the paper "Exponential Step Sizes for Non-Convex Optimization"
Gradient Descent
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5
A research project on enhancing gradient optimization methods
Idec Toy
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5
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