narumiruna/efficientnet-pytorch

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

Language: Python - Size: 345 KB - Last synced: about 3 hours ago - Pushed: about 4 hours ago - Stars: 109 - Forks: 31

yizt/keras-imprinting

论文Low-Shot Learning with Imprinted Weights 的keras 版简要实现;

Language: Jupyter Notebook - Size: 109 KB - Last synced: about 22 hours ago - Pushed: over 5 years ago - Stars: 15 - Forks: 4

josetorronteras/CIFAR10VisionClassifier

CIFAR-10 trained with CreateML and a SwiftUI app for real time model testing. Kaggle Score: 0.69660

Language: Swift - Size: 6 MB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 0 - Forks: 0

zxuuuustupid/cifar10

use CNN to fit cifar10,but overfitting

Language: Python - Size: 18.6 KB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 1 - Forks: 0

yoshitomo-matsubara/torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Language: Python - Size: 7.84 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 1,280 - Forks: 123

KimRass/ViT

PyTorch implementation of 'ViT' (Dosovitskiy et al., 2020) and training it on CIFAR-10 and CIFAR-100

Language: Python - Size: 39.9 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 2 - Forks: 0

vfdev-5/ignite-examples

Examples with ignite https://github.com/pytorch/ignite

Language: Jupyter Notebook - Size: 22.2 MB - Last synced: 7 days ago - Pushed: over 4 years ago - Stars: 11 - Forks: 0

RahulBhalley/turing-gan

Source code for "Training Generative Adversarial Networks Via Turing Test".

Size: 372 MB - Last synced: 7 days ago - Pushed: almost 4 years ago - Stars: 13 - Forks: 2

srajan-kiyotaka/Object-recognizing-Model

I used Deep Learning CNN Model to Recognizing Object, I Trained The Model Using CIFAR10 Dataset Present in Keras.

Language: Jupyter Notebook - Size: 338 KB - Last synced: 7 days ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 0

sarthak268/Deep_Neural_Networks

This repository contains Pytorch files that implement Basic Neural Networks for different datasets.

Language: Python - Size: 103 MB - Last synced: 7 days ago - Pushed: about 5 years ago - Stars: 5 - Forks: 1

kenza-ily/vit_class

Classification using Vision Transformers (ViT) and MixUp Augmentation

Language: Python - Size: 21.6 MB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 0 - Forks: 0

haitongli/knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Language: Python - Size: 22.1 MB - Last synced: 5 days ago - Pushed: about 1 year ago - Stars: 1,782 - Forks: 341

yhyu13/CapsNet-python-tensorflow

This is python TensorFlow implementation of [Dynamic Routing Between Capsules](https://arxiv.org/pdf/1710.09829.pdf) (仅供交流学习使用)

Language: Python - Size: 4.86 MB - Last synced: 10 days ago - Pushed: about 6 years ago - Stars: 5 - Forks: 5

loyal-pelmen/Lab5-Classification

Разработка сверточной нейронной сети для классификации изображений

Language: Jupyter Notebook - Size: 59.6 KB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 1 - Forks: 0

daixiangzi/ImprovedGan-pytorch

Improved Techniques for Training GANs for cifar10 dataset

Language: Python - Size: 35.7 MB - Last synced: 10 days ago - Pushed: about 1 year ago - Stars: 18 - Forks: 6

daixiangzi/DADA-pytorch

For cifar10 ”DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification“

Language: Python - Size: 31.3 MB - Last synced: 10 days ago - Pushed: over 4 years ago - Stars: 8 - Forks: 1

alin00r/Cifar10-imageClassification

Language: Jupyter Notebook - Size: 16.2 MB - Last synced: 10 days ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

pprp/ofa-cifar

:star: Make Once for All support CIFAR10 dataset.

Language: Python - Size: 2.87 MB - Last synced: 10 days ago - Pushed: over 2 years ago - Stars: 4 - Forks: 0

pprp/MutableNAS

Channel Search for ResNet20; cvpr21 NAS workshop 16th

Language: Python - Size: 169 MB - Last synced: 10 days ago - Pushed: about 2 years ago - Stars: 1 - Forks: 1

NajiAboo/CNN_Architecutre_Comparison

Comparing 5 different CNN architectures for MNIST, CIFAR 10 and Flower dataset

Language: Jupyter Notebook - Size: 48.8 KB - Last synced: 11 days ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

naszilla/naszilla

Naszilla is a Python library for neural architecture search (NAS)

Language: Python - Size: 1.72 MB - Last synced: 11 days ago - Pushed: over 1 year ago - Stars: 299 - Forks: 44

kunzhan/InfoMatch

IJCAI 2024, InfoMatch: Entropy neural estimation for semi-supervised image classification

Language: Python - Size: 3.11 MB - Last synced: 10 days ago - Pushed: 21 days ago - Stars: 20 - Forks: 0

pprp/PyTorch-CIFAR-Model-Hub

Implementation of Conv-based and Vit-based networks designed for CIFAR.

Language: Python - Size: 1.6 MB - Last synced: 10 days ago - Pushed: over 1 year ago - Stars: 65 - Forks: 13

zeiss-microscopy/BSConv

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Language: Python - Size: 1.73 MB - Last synced: 10 days ago - Pushed: over 1 year ago - Stars: 133 - Forks: 22

harsmac/MUFIACode

Code for the attack multiplicative filter attack MUFIA, from the paper "Frequency-based vulnerability analysis of deep learning models against image corruptions".

Language: Python - Size: 3.03 MB - Last synced: 13 days ago - Pushed: 10 months ago - Stars: 3 - Forks: 0

keyurparalkar/KNN-for-CIFAR-10

K-nearest neighbour algorithm for CIFAR-10 dataset

Language: Jupyter Notebook - Size: 9.77 KB - Last synced: 14 days ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

StarJade-Park/ML_CIFAR-10

2017-Spring Machine Learning prj, Yonsei Wonju

Language: Python - Size: 86.9 KB - Last synced: 14 days ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 1

sytelus/cifar_testbed

Test bed for cifar10 dataset using PyTorch for accuracy and timing performance measurements

Language: Python - Size: 176 KB - Last synced: 15 days ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

henry-tujia/RayFedAI

RayFedAI is an open-source federated learning framework that harnesses the power of distributed computing with the Ray backend. This project aims to provide a robust platform for implementing and training machine learning models across decentralized data sources while maintaining data privacy and security.

Language: Python - Size: 106 KB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 0 - Forks: 0

yuvalofek/Deep-Learning

Deep learning projects completed for graduate class ECE472

Language: Jupyter Notebook - Size: 7.01 MB - Last synced: 18 days ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

lotfiferaga/Image_Classification

image classification with the famous cifar dataset

Language: Python - Size: 30.1 MB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 0 - Forks: 0

cedrickchee/dawnbench-analysis

DAWNBench analysis of CIFAR-10 time-to-accuracy.

Language: Jupyter Notebook - Size: 441 KB - Last synced: 19 days ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 0

ljmiao/PENCIL

implement of paper 'Probabilistic End-to-end Noise Correction for Learning with Noisy Labels'

Language: Python - Size: 160 KB - Last synced: 19 days ago - Pushed: almost 5 years ago - Stars: 17 - Forks: 3

bearpaw/pytorch-classification

Classification with PyTorch.

Language: Python - Size: 428 KB - Last synced: 18 days ago - Pushed: about 1 year ago - Stars: 1,649 - Forks: 561

dhruvramani/CIFAR-10

CIFAR 10 Dataset Blobs

Size: 158 MB - Last synced: 21 days ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

BobNobrain/gan 📦

Simple GAN with keras and TensorFlow, can be trained on mnist and cifar10

Language: Python - Size: 93.1 MB - Last synced: 22 days ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

ErikGartner/wasp-cifar10

Cifar10 for the WASP course

Language: Python - Size: 371 MB - Last synced: 23 days ago - Pushed: about 6 years ago - Stars: 2 - Forks: 0

itskavyagupta/NYU-DL-Cerberus

ResNet model of high accuracy (on Cifar-10) with less than 5 million parameters.

Language: Jupyter Notebook - Size: 951 KB - Last synced: 23 days ago - Pushed: 25 days ago - Stars: 0 - Forks: 0

joaopauloschuler/neural-api

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.

Language: Pascal - Size: 13.5 MB - Last synced: 28 days ago - Pushed: 28 days ago - Stars: 348 - Forks: 192

stefan-matcovici/Neural-Networks--Homework

Homework for the advanced neural networks course

Language: Python - Size: 22.4 MB - Last synced: 24 days ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

msancor/FDS-HW2

Python project for the Fundamentals of of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is exploring Logistic Regression & Multinomial Regression concepts along with training classifiers using Gradient Descent/Ascent.

Language: Jupyter Notebook - Size: 1.28 MB - Last synced: 27 days ago - Pushed: 27 days ago - Stars: 0 - Forks: 0

DmAlexx/Denoising

Denoising Autoencoder

Language: Jupyter Notebook - Size: 14.7 MB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 0 - Forks: 0

Cydia2018/ViT-cifar10-pruning

Vision Transformer Pruning

Language: Python - Size: 42 KB - Last synced: 20 days ago - Pushed: over 2 years ago - Stars: 45 - Forks: 9

mafda/generative_adversarial_networks_101

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Language: Jupyter Notebook - Size: 16.1 MB - Last synced: 17 days ago - Pushed: 6 months ago - Stars: 199 - Forks: 79

alvinwan/neural-backed-decision-trees

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

Language: Python - Size: 2.57 MB - Last synced: 29 days ago - Pushed: about 1 year ago - Stars: 599 - Forks: 131

bensooraj/pytorch-s9-CIFAR10

Depthwise Separable Convolution and Albumentations

Language: Jupyter Notebook - Size: 343 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

stracini-git/qnn

Training neural nets with quantized weights on arbitrarily specified bit-depth

Language: Python - Size: 1.2 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 1

GuanhuaWang/sensAI

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

Language: Python - Size: 1.26 MB - Last synced: 5 days ago - Pushed: 5 days ago - Stars: 62 - Forks: 8

gregiberri/active_learning

Repository to simulate and compare different classical active learning methods.

Language: Jupyter Notebook - Size: 346 KB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

vanallam/Image-classification-with-CIFAR-10

Training an image classification model with CIFAR-10 dataset

Language: Jupyter Notebook - Size: 190 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

AsafShul/PoDD

Official PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.

Language: Python - Size: 12.3 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 30 - Forks: 1

shashwattyagi13/Image-Classification-using-ANN-and-CNN

In this, I made a classifier that took CIFAR-10 datasets of 60,000 images. I train and then tests over it on both ANN and CNN respectively. In training After 5 epochs in ANN, I got 48.57% accuracy whereas in testing I got 42%. On the other hand In the training of CNN, I got 72.3% accuracy and on 10 epochs of training I got 80.2% and in testing, I got 70.2%.

Language: Jupyter Notebook - Size: 24.4 KB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

bensooraj/pytorch-s8-CIFAR10

Language: Jupyter Notebook - Size: 3.1 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

motokimura/shake_shake_chainer

Implementation of Shake-Shake regularization in Chainer

Language: Jupyter Notebook - Size: 549 KB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

hvsarma/udacity-nd101-deeplearning

Udacity Nanodegree - Deep learning projects

Language: HTML - Size: 165 MB - Last synced: about 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

EN10/CIFAR

CIFAR 10 image dataset

Language: Python - Size: 26.4 KB - Last synced: 23 days ago - Pushed: about 5 years ago - Stars: 42 - Forks: 11

JacobPolloreno/cifar10_keras

Example models for cifar10 classification

Language: Jupyter Notebook - Size: 16.6 MB - Last synced: about 2 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1

Ahmed-Habashy/DCGAN-on-CIFAR10

In this script, we use Deep Convolutional Generative Adversarial Networks (DCGANs) to generate new images that resemble CIFAR10 dataset images.

Language: Python - Size: 8.79 KB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 4 - Forks: 0

Ahmed-Habashy/calculate-Inception-Score-for-CIFAR-10-in-Keras

This code calculates the Inception Score for the CIFAR-10 dataset using Keras with InceptionV3 model. The Inception Score is a metric to evaluate the quality of generated images from a generative model.

Language: Jupyter Notebook - Size: 5.86 KB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 4 - Forks: 0

Vikramank/CIFAR-Android-TF

Implement Image Classification algorithm in Android Studio

Language: Java - Size: 25.4 MB - Last synced: about 2 months ago - Pushed: almost 6 years ago - Stars: 6 - Forks: 8

Umar-Waseem/cnn-cifar10-classifier

tensorflow based CNN trained on cifar-10 dataset for classification with 90% validation and 89.3% test accuracy

Language: Jupyter Notebook - Size: 185 MB - Last synced: about 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

0lut/Deep-Learning-Examples

My experiments related to deep learning. Mostly applications on computer vision

Language: Python - Size: 11.8 MB - Last synced: about 2 months ago - Pushed: over 4 years ago - Stars: 2 - Forks: 1

suryansh-sinha/CNN-PyTorch

A simple Convolutional Neural Network trained on the famous CIFAR-10 dataset. Implemented in PyTorch.

Language: Jupyter Notebook - Size: 696 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

Ermlab/cifar-keras-tutorial

Conv-net CIFAR10 tutorial

Language: Python - Size: 14.6 KB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 1

Ermlab/cifar10keras

CIFAR-10 IMAGE CLASSIFICATION WITH KERAS CONVOLUTIONAL NEURAL NETWORK TUTORIAL

Language: Python - Size: 8.79 KB - Last synced: about 2 months ago - Pushed: over 6 years ago - Stars: 11 - Forks: 6

motokimura/pytorch_quantization_fx

An example to quantize MobileNetV2 trained on CIFAR-10 dataset with PyTorch

Language: Python - Size: 86.6 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 6 - Forks: 3

towardthesea/cifar10

Tensorflow project of cifar10 model with "stop & resume"

Language: Python - Size: 25.4 KB - Last synced: about 2 months ago - Pushed: about 7 years ago - Stars: 0 - Forks: 0

amir-saniyan/KerasNets

This repository contains implementation of some deep neural networks by Keras.

Size: 151 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

yisus82/zenva-python-image-classification

Build an image classification AI in Python - Zenva.com

Language: Python - Size: 158 MB - Last synced: about 2 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

darthdaenerys/CIFAR10-Image-Classification

Cifar10 dataset image classification using deep neural networks

Language: Jupyter Notebook - Size: 83.8 MB - Last synced: about 2 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

noshintas96/Cifar10_Alexnet_Imagenet_LogisticRegression

This repository contains code for analyzing the CIFAR-10 dataset using pre-trained AlexNet and logistic regression classifiers.

Language: Jupyter Notebook - Size: 65.4 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

haniye6776/transfer-learning

Language: Jupyter Notebook - Size: 60.5 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

horrible-dong/QTClassification

A lightweight and extensible toolbox for image classification

Language: Python - Size: 407 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 7 - Forks: 1

chengtan9907/Co-learning

The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.

Language: Python - Size: 104 KB - Last synced: about 18 hours ago - Pushed: almost 2 years ago - Stars: 110 - Forks: 14

Cydia2018/Vision-Transformer-CIFAR10

Pytorch implementation of some vision transformers, trained on CIFAR-10.

Language: Python - Size: 7.05 MB - Last synced: 20 days ago - Pushed: over 2 years ago - Stars: 25 - Forks: 1

Keiku/PyTorch-Lightning-CIFAR10

"Not too complicated" training code for CIFAR-10 by PyTorch Lightning

Language: Python - Size: 249 KB - Last synced: 16 days ago - Pushed: almost 2 years ago - Stars: 10 - Forks: 1

hiwonjoon/tf-vqvae

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Language: Jupyter Notebook - Size: 53 MB - Last synced: 30 days ago - Pushed: about 6 years ago - Stars: 258 - Forks: 41

Hyperparticle/one-pixel-attack-keras

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

Language: Jupyter Notebook - Size: 43.5 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1,187 - Forks: 206

atrazeynepbahceci/ComputerVision

Language: Jupyter Notebook - Size: 5.24 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

charlie2951/tflite_micro_rpi0

Running Tensorflow Lite runtime in Python on Raspberry Pi Zero and Zero W

Language: Jupyter Notebook - Size: 13.6 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

SubhashKrYadav/RoadToLearnDeepLearning

Journey to Learn Deep Learning with Pytorch from scratch i.e, from Tensor & Gradients to Advance topic like Generative Adversarial Networks

Language: Jupyter Notebook - Size: 1.61 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

PistonY/ResidualAttentionNetwork

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

Language: Python - Size: 341 MB - Last synced: 15 days ago - Pushed: almost 5 years ago - Stars: 105 - Forks: 26

aa-samad/conv_snn

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

Language: Python - Size: 75.2 KB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 111 - Forks: 27

AtSourav/L2-vs-L1-vs-CB-loss-in-deep-CNN-based-AE-on-cifar10

Comparing performance of AE and VAE using the Continuous Bernoulli loss and using mse loss, on the unlabelled part of the stl10 image dataset

Language: Jupyter Notebook - Size: 16 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 2 - Forks: 0

Adeel-Intizar/CIFAR-10-State-of-the-art-Model

TensorFlow / keras Implementation of a new Architecture on CIFAR-10 Dataset

Language: Jupyter Notebook - Size: 29.3 MB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

TapanBhavsar/image-classification-CIFAR-10-using-tensorflow

image classification using cifar 10 dataset and tensorflow library and supported python library and create 92% accuracy on training dataset

Language: Python - Size: 4.88 KB - Last synced: 3 months ago - Pushed: about 6 years ago - Stars: 5 - Forks: 6

AtSourav/AE-w.-Bottleneck-Residual-Blocks

A CNN based autoencoder with Bottleneck Residual blocks on cifar10. May add perceptual loss and/or try out different loss functions later, will use L2 as the default.

Language: Jupyter Notebook - Size: 16.4 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

meryemozlem/deep_learning_and_mobile_application

Staj zamanında yaptığım derin öğrenme destekli mobil uygulama projesidir. Derin öğrenme ile Cifar10 veri setinde sınıflandırma yapıldı.

Language: Jupyter Notebook - Size: 14.6 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 4 - Forks: 0

ChieBKAI/cnn-model-with-vgg16-architecture

CNN Model with VGG16 Architecture

Language: Jupyter Notebook - Size: 18.6 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

liliansteven/LeNet5-implementation

This is an implementation of the LeNet-5 architecture on the Cifar10 and MNIST datasets.

Language: Jupyter Notebook - Size: 340 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

ksheersagaragrawal/LotteryTicketPruning

Study and Implementation of various neural network pruning techniques. Extending the lottery ticket hypothesis to structured pruning for accelerated training while maintaining uncertainty and accuracy. The focus is on simplifying the model's complexity without sacrificing its overall performance or leading to overfitting.

Language: Jupyter Notebook - Size: 153 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

lokender/REGroup

Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022

Language: Jupyter Notebook - Size: 101 MB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 5 - Forks: 0

exelban/tensorflow-cifar-10 📦

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

Language: Python - Size: 29.3 KB - Last synced: 7 days ago - Pushed: over 4 years ago - Stars: 90 - Forks: 48

VITA-Group/AutoGAN

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

Language: Python - Size: 413 KB - Last synced: 20 days ago - Pushed: 3 months ago - Stars: 460 - Forks: 84

visresearch/dems

This repository includes official implementation and model weights of Data-Efficient Multi-Scale Fusion Vision Transformer.

Language: Python - Size: 275 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

saurabhmathur96/cifar10-classification

Classifying objects into 10 classes using Convolutional and Residual Nets.

Language: Python - Size: 230 KB - Last synced: 3 months ago - Pushed: over 7 years ago - Stars: 1 - Forks: 0

Alireza-Gharavi/CIFAR-10-Classification

Implementing an ANN using PyTorch (under 800,000 parameters) to achieve +92% accuracy in under 100 epochs.

Language: Jupyter Notebook - Size: 671 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

mitmul/chainer-cifar10

Various CNN models for CIFAR10 with Chainer

Language: Python - Size: 1.05 MB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 137 - Forks: 35

peteryuX/pcdarts-tf2

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

Language: Python - Size: 270 KB - Last synced: 6 days ago - Pushed: about 1 year ago - Stars: 27 - Forks: 8

ahmadara/image-classification-with-self-supervise

Combining self-supervision and CondenseNet for image classification.

Language: Jupyter Notebook - Size: 208 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0