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Search results for mnist imagenet
imagenet
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mnist
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38 search results found
Keras Js
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4,879
Run Keras models in the browser, with GPU support using WebGL
Deepxplore
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344
DeepXplore code release
Sparse_learning
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334
Sparse learning library and sparse momentum resources.
Deepdsl
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127
DeepDSL is a domain specific language (DSL) embedded in Scala for writing deep learning network applications.
Efficientnet Pytorch
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108
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Rebias
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90
Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020
Simple Cnaps
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89
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)
Scouter
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77
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Adversarial
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66
Exploring the Space of Adversarial Images
Wgan Gp Tensorflow
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62
WGAN-GP tensorflow implementation
Lemon
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46
This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.
Open Set Recognition
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36
Open Set Recognition
Rebnet
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29
Residual Binarized Neural Network
Adversarial_genattack
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28
Atsne
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27
Anchor-t-SNE for large-scale and high-dimension vector visualization
Al Fk Self Supervision
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25
Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
Adapted_deep_embeddings
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22
Code associated with "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning"
Adversarial_reprogramming
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20
Adversarial Reprogramming of Neural Networks
L2l Da
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20
Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks
Structural Regularity
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17
Metric_learning_adversarial_robustness
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17
Code for NeurIPS 2019 Paper
Evaluating Logit Pairing Methods
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16
Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]
Ape Gan
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15
Tensorflow implementation of Our APE-GAN
Augmented_lagrangian_adversarial_attacks
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14
Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"
Ares
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12
Ares: A framework for quantifying the resilience of deep neural networks
Activationfunctiondemo
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11
The "Activation Function Demo" is a demo for implementing activation function with the mathod propsed in paper: Design Space Exploration of Neural Network Activation Function Circuits
Pytorch Mpi Ddp Example
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10
PyTorch-MPI-DDP-example
Burstprop
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9
Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
Adversarial Reprogramming Tensorflow
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8
TensorFlow implementation of Adversarial Reprogramming of Neural Networks https://arxiv.org/abs/1806.11146
Pl Cnn
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8
A layer-wise algorithm for learning Convolutional Neural Networks
Patchsmoothing
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8
Code for the paper "(De)Randomized Smoothing for Certifiable Defense against Patch Attacks" by Alexander Levine and Soheil Feizi.
Deeplearning Codelab
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8
DevFest Nantes 2017, The Deep Learning Codelab Repository. Presented on October the 19th from 4:20pm to 6:20pm.
Pytorch_simple_classification_baselines
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7
Simple pytorch classification baselines for MNIST, CIFAR and ImageNet
Dpp Dropout Uncertainty
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7
Effective uncertainty estimation with decorellation and DPP mask for dropout
Bmxnet V2 Examples
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6
Examples for BMXNet v2 (https://github.com/hpi-xnor/BMXNet-v2)
B Lrp
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6
B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
Prdnn
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5
Code from PLDI '21 paper "Provable Repair of Deep Neural Networks."
Pydatset
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5
Load various datasets in Python for computer vision purposes
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1-38 of 38 search results
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