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Hlb Cifar10 ⭐ 1,112

Train to 94% on CIFAR-10 in <6.3 seconds on a single A100, the current world speed record. Or ~95.79% in ~110 seconds (or less!)

One Pixel Attack Keras ⭐ 1,078

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Neural Backed Decision Trees ⭐ 445

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

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.

Binarynet.tf ⭐ 161

BNN implementation in tensorflow

Chainer Cifar10 ⭐ 132

Various CNN models for CIFAR10 with Chainer

Efficientnet Pytorch ⭐ 108

A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

Pytorch Speech Commands ⭐ 98

Speech commands recognition with PyTorch

Tensorflow Cifar 10 ⭐ 82

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

Nice_pytorch ⭐ 36

Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.

Pytorch Nn Practice ⭐ 33

💩 My pytorch neural network practice repo

Dynamic Routing Capsule Cifar ⭐ 33

CapsNet reference from : https://github.com/XifengGuo/CapsNet-Keras

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.

Bayesbinn ⭐ 28

Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule

Cnn Compression Performance ⭐ 24

A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks

Caffesvd ⭐ 24

使用SVD、K-Means、降低权值精度的方法压缩Cifar-10神经网络的全连接层

Conv_snn ⭐ 23

Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

Learning Tensorflow ⭐ 18

Simple Tensorflow tutorials for learning by example

Kalman Normalization ⭐ 15

Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Neural_networks_for_computer_vision ⭐ 13

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Fully Learnable Group Convolution.pytorch ⭐ 13

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

Cifar Autoencoder ⭐ 13

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Eagleeye_tensorflow ⭐ 11

Eagleeye: fast sub-net evaluation for efficient neural network pruning with Tensorflow keras

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

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Sample Machine Learning Projects ⭐ 10

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

Pytorch Deep Learning ⭐ 6

GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point

Gan_image_colorizing ⭐ 5

Image colorization with generative adversarial networks on the CIFAR10 dataset.

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