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88 search results found

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

Neural Network Genetic Algorithm ⭐ 516

Evolving a neural network with a genetic algorithm.

A simple and effective method for detecting out-of-distribution images in neural networks.

Capslayer ⭐ 354

CapsLayer: An advanced library for capsule theory

Neural Api ⭐ 334

CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Odin Pytorch ⭐ 178

Principled Detection of Out-of-Distribution Examples in Neural Networks

Deconvolution ⭐ 176

Binarynet.tf ⭐ 161

BNN implementation in tensorflow

K Neural Api ⭐ 130

K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.

Quantizedneuralnetworks Keras Tensorflow ⭐ 127

Quantized Neural Networks - networks trained for inference at arbitrary low precision.

Tensorflow.cifar10 ⭐ 119

The examples of image recognition with the dataset CIFAR10 via tensorflow.

Tensorflowframework ⭐ 119

An extendable framework for training neural network models using TensorFlow.

Repository for the One class neural networks paper

Hyperopt Keras Cnn Cifar 100 ⭐ 87

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

Noisy_labels ⭐ 85

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

Tensorflow Cifar 10 ⭐ 82

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Noisy_label_understanding_utilizing ⭐ 69

ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Mxnet_tutorial ⭐ 56

Using Mxnet!!!!

Bayesbyhypernet ⭐ 55

Code for the paper Implicit Weight Uncertainty in Neural Networks

Embedded_gcnn ⭐ 54

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Mister_ed ⭐ 47

Pytorch Adversarial Attack Framework

Research Institute of Data Science and Vision Computing Machine Learning and Deep Learning Course

Efficientnas ⭐ 46

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Oc Nn_old ⭐ 44

Models for one class neural networks

Neuralrejuvenation Cvpr19 ⭐ 43

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19

Over Parametrization ⭐ 43

Computing various norms/measures on over-parametrized neural networks

Pytorch Autoneb ⭐ 42

PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes

Cs231n_assignments ⭐ 41

[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)

Ruby Dnn ⭐ 40

ruby-dnn is a ruby deep learning library.

Bag_of_tricks_cnn ⭐ 37

The implementation of paper "Bag of Tricks for Image Classification with Convolutional Neural Networks" by Xie et al.

Ziff Deep Learning ⭐ 35

Project repo for Ziff Deep Learning Internship 2017 - Deep learning model performance improvement strategies

Neural network library written in C and Javascript

Pytorch Nn Practice ⭐ 33

💩 My pytorch neural network practice repo

Cifar 10 ⭐ 32

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

Dni Tensorflow ⭐ 30

DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.

MixPath: A Unified Approach for One-shot Neural Architecture Search

One Pixel Attack Pytorch ⭐ 26

Pytorch reimplementation of "One pixel attack for fooling deep neural networks"

Implementation for <Neural Similarity Learning> in NeurIPS'19.

Deep Learning Tutorial With Chainer ⭐ 24

Deep learning tutorial with Chainer

Neural Fingerprinting ⭐ 21

Squeezenext.pytorch ⭐ 20

re-implement for paper: SqueezeNext: Hardware-Aware Neural Network Design. (SqueezeNext)

Deep Columnar Convolutional Neural Network ⭐ 19

Deep Columnar Convolutional Neural Network architecture, which is based on Multi Columnar DNN (Ciresan 2012).

Pruningneuralnetworks ⭐ 18

This repository provides the implementation of the method proposed in our paper "Pruning Deep Neural Networks using Partial Least Squares"

Pytorch Convcnp ⭐ 18

A PyTorch Implementation of Convolutional Conditional Neural Process.

Learning Tensorflow ⭐ 18

Simple Tensorflow tutorials for learning by example

Learningwithpython ⭐ 17

Fully Decoupled Neural Network Learning Using Delayed Gradients (FDG)

Differentiable Neural Architecture Learning for Efficient Neural Network Design, Pattern Recognition, 2022

Multipath Nn ⭐ 15

Experiments exploring dynamic routing in artificial neural networks

Variational Dropout ⭐ 15

TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)

Selective_deep_learning ⭐ 15

Code for the paper "Selective Classification for Deep Neural Networks"

Search The Number Of Channels ⭐ 15

Deep Learning Notebooks ⭐ 14

Collection of my implementations of various papers and the stuff I like.

Hypergan ⭐ 14

Generative Model for Neural Networks

Fully Learnable Group Convolution.pytorch ⭐ 13

Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19

Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"

Proximal Mean-field for Neural Network Quantization

Kerasvggcifar10 ⭐ 12

Keras VGG implementation for CIFAR-10 classification Tutorial

Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Cifar 10 Uncertainty ⭐ 12

Simplecudaneuralnet ⭐ 12

Concise neural network with C++ and CUDA

TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.

Reimagined Winner ⭐ 11

CIFAR-10 Object Detection with improved accuracy using Fractional MaxPooling with Convolutional Neural Networks

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

Convolutionalneuralnet_fromscratch ⭐ 10

Python Caffe Custom Cifar 100 Conv Net ⭐ 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.

Randwirenn ⭐ 9

Unofficial Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Hebbianlearning ⭐ 9

Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

Geneticnas ⭐ 9

The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.

Quantized Tensorflow Estimator for Google EdgeTpu Accelerator, Dev Board and Intel Neural Compute Stick 2

A layer-wise algorithm for learning Convolutional Neural Networks

Differentiable neural architecture search

Neural Ode Features ⭐ 8

Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial examples

Gradually Updated Neural Networks for Large-Scale Image Recognition at ICML 2018

Bandlimited Cnns ⭐ 8

Band-limited Training and Inference for Convolutional Neural Networks

Nn Visualizer ⭐ 7

Graduation Design ⭐ 7

基于剪枝的神经网络压缩与加速

State-of-the-art results in Cifar 100 using theano and theanet. Convolutional Neural Networks with Data Augmentation.

Adam Analysis Tensorflow ⭐ 6

This repository analyzes the performance of Adam optimizer while comparing with others.

Co Teaching ⭐ 6

Evolutionary_neural_network Stop ⭐ 5

Using evolutionary algorithm to search for a great neural network architecture.

Path-SGD: Path-Normalized Optimization in Deep Neural Networks

Deep Symmetry ⭐ 5

Stochasticity_in_neural_ode ⭐ 5

"Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper

A multibranch neural net architecture. (PyTorch)

Generating distributions of neural networks

Tf Cnn Cifar 100 ⭐ 5

Convolutional Neural Networks using Tensorflow with Cifar-100 dataset

Igcv_v1.pytorch ⭐ 5

re-implement for paper: Interleaved Group Convolutions for Deep Neural Networks. (IGCV V1)

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