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Search results for pytorch regularization
pytorch
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regularization
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55 search results found
Distiller
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4,252
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Cutmix Pytorch
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611
Official Pytorch implementation of CutMix regularizer
Basic_model_scratch
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609
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
Cifar Zoo
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575
PyTorch implementation of CNNs for CIFAR benchmark
Teacher Free Knowledge Distillation
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490
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
Early Stopping Pytorch
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428
Early stopping for PyTorch
Dropblock
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408
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Seg Uncertainty
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374
IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
Pytorch Goodies
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332
PyTorch Boilerplate For Research
Neural Collaborative Filtering
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312
pytorch version of neural collaborative filtering
Manifold_mixup
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262
Code for reproducing Manifold Mixup results (ICML 2019)
Gan Tutorial
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190
Simple Implementation of many GAN models with PyTorch.
Hessian_penalty
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188
Code for the Hessian Penalty: A Weak Prior for Unsupervised Disentanglement (ECCV 2020 Spotlight)
Modelnet40 C
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184
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
Continual Learning Benchmark
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158
Evaluate three types of task shifting with popular continual learning algorithms.
Vat Pytorch
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157
Virtual Adversarial Training (VAT) implementation for PyTorch
Indoor Sfmlearner
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124
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Jacobian_regularizer
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112
A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
Adversarial Examples In Pytorch
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103
Pytorch code to generate adversarial examples on mnist and ImageNet data.
Neural Dream
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87
PyTorch implementation of DeepDream algorithm
Sosnet
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84
Pretrained pytorch model for the SOSNet descriptor [CVPR 2019]
Adamw Pytorch
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78
Implementation and experiments for AdamW on Pytorch
Cutmix
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77
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Pytorch_ard
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70
Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
Mixout
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61
Implementation of Mixout with PyTorch
Onlinelabelsmoothing
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45
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
Deeplearning Padhai
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39
All the code files related to the deep learning course from PadhAI
Shake Shake_pytorch
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38
PyTorch implementation of shake-shake regularization
L0.pytorch
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37
an implementation of L0 regularization with PyTorch
Shake Drop_pytorch
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36
PyTorch implementation of shake-drop regularization
Box Embeddings
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35
Box Embeddings as Modules
Pytorchreg
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34
Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
Torch Gel
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33
Group elastic net implementation in PyTorch
Stable Weight Decay Regularization
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31
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
Regularization Pruning
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28
[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
Adr_da
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26
Patchup
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26
Consistency
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19
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Textadain Robust Recognition
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18
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers
Morph.py
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16
A neural architecture optimizer, targeted at model-size w.r.t. accuracy
Pytorch Finetuner
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13
Visualdialog Pytorch
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13
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
Pytorch Consistency Regularization
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12
PyTorch implementation of consistency regularization methods for semi-supervised learning
Structured_tuning_srl
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12
Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling
Dropout_tutorial_in_pytorch
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11
Dropout as Regularization and Bayesian Approximation
Pytorch Deepglr
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10
A pytorch implementation of Deep Graph Laplacian Regularization for image denoising
Comparatornetwork_pytorch
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8
This repo implements VGG's Comparator Network [1].
Shadow
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8
Shadow semi-supervised consistency regularization PyTorch library
Drophead Pytorch
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7
An implementation of drophead regularization for pytorch transformers
Removing Bias In Multi Modal Classifiers
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7
Weight Decay
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6
Counterfactual Explanation Based On Gradual Construction For Deep Networks
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6
Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch
Dropblock_mxnet_bottom_implemention
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6
用C++实现一个mxnet版本dropblock Op 最后可以用mx.sym.Dropblock()调用
Gor
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6
PyTorch code for Group Orthogonalization regularization
Tensornet
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5
A high-level deep learning library built on top of PyTorch.
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