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134 search results found
Python Caffe Custom Cifar 100 Conv Net
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10
Custom convolutional neural network on cifar-100 dataset for image classification. Images and their labels are processed to HDF5 data format for use in Caffe.
Zlinnet
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10
Source code for ``How far can we go without convolution: Improving fully-connected networks'' published at ICLR 2016 workshop
Convolutionalneuralnet_fromscratch
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10
Perforated Cnn Matconvnet
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10
Generalization Bounds
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9
Computing various measures and generalization bounds on convolutional and fully connected networks
Kumozu
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9
Deep learning and matrix factorization in C++
Burstprop
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9
Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
Magan
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9
Tensorflow Implementation for MAGAN: Margin Adaptation for Adversarial Networks
Hebbianlearning
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9
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
Cascadelearning
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9
Matconvnet Resnet
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9
Deep Residual Networks for MatConvNet
Binary_connect_cifar
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8
An implementation of a BinaryConnect network for cifar10
Bandlimited Cnns
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8
Band-limited Training and Inference for Convolutional Neural Networks
Gunn
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8
Gradually Updated Neural Networks for Large-Scale Image Recognition at ICML 2018
Cnn Tutorial
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8
Convolutional Neural Networks Tutorial Materials, Jan 2018
Classification Cifar10 Pytorch
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7
Train several classical classification networks in cifar10 dataset by PyTorch
Copanet
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7
accepted by ACML2017
Adam Analysis Tensorflow
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6
This repository analyzes the performance of Adam optimizer while comparing with others.
Co Teaching
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6
Quantized_neural_networks
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6
Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand and Rayan Saab (2020).
Normprojection
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6
This project is the Torch implementation of the paper: Projection Based Weight Normalization for Deep Neural Networks (arXiv:1710.02338)
Svb
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6
Code release for the CVPR2017 paper "Improving training of deep neural networks via Singular Value Bounding". Achieving error rates of 3.06% on CIFAR-10 and 16.90% on CIFAR-100.
Deep_separation_contraction
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6
This is the code for the CVPR17 paper "Building a Regular Decision Boundary with Deep Networks"
Nnquantization
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5
Some implementations of the Neural Networks Quantization algorithms.
Hydranet
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5
A multibranch neural net architecture. (PyTorch)
Genetic Keras
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5
Deep Symmetry
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5
Tf Cnn Cifar 100
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5
Convolutional Neural Networks using Tensorflow with Cifar-100 dataset
Igcv_v1.pytorch
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5
re-implement for paper: Interleaved Group Convolutions for Deep Neural Networks. (IGCV V1)
Evolutionary_neural_network Stop
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5
Using evolutionary algorithm to search for a great neural network architecture.
Path Sgd
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5
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Hypergan
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5
Generating distributions of neural networks
Artgan
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5
Creating Art with Generative Adversarial Networks
Patch Augmentation
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5
Code for the implemenation of the Patch Augmentation technique
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