6903 Open source projects that are alternatives of or similar to One Pixel Attack Keras

Artificial Intelligence Learning Notes.

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

PyTorch tutorials A to Z

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

PyTorch tutorial for learners

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

A new test set for ImageNet

Distance Recognition of a Human Being with Deep CNN's

Text classification models. Used a submodule for other projects.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

StarNet

MicaSense RedEdge and Altum image processing tutorials

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

CNN image classifier implemented in Keras Notebook 🖼️.

lidc nodule detection with CNN and LSTM network

코딩셰프의 3분 딥러닝, 케라스맛

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

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

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

CNN image style transfer 🎨.

Natural Language Processing with TensorFlow, published by Packt

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

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

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Collection of popular and reproducible image denoising works.

Python Examples for Remote Sensing

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

A light-weight, power efficient, and general purpose convolutional neural network

Segmentation models with pretrained backbones. PyTorch.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Sequence-to-Sequence Framework in PyTorch

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Comparison of famous convolutional neural network models

Image Processing with Cellular Neural Networks in Python

Predict Cryptocurrency Price with Deep Learning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

food image to recipe with deep convolutional neural networks.

Code for Tensorflow Machine Learning Cookbook

Evaluation of the CNN design choices performance on ImageNet-2012.

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Image Captioning using InceptionV3 and beam search

Service Classification based on Service Description

Implementation of Neural Image Captioning model using Keras with Theano backend

QA - Answer Selection (Rank candidate answers for a given question)

Tensorflow ResNet implementation on cifar10

All about Neural Networks!

Try out deep learning models online on Google Colab

keras를 이용한 딥러닝 기초 학습

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

Some interesting TensorFlow tutorials for beginners.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Face identification with cnn+triplet-loss written by Keras.

Diseases Detection from NIH Chest X-ray data