335 Open source projects that are alternatives of or similar to InceptionV4

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Listing my favorite research papers 📝 from different fields as I read them.

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

✌Real-time translation of the Auslan Alphabet

Our deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Easily train an image classifier and then use it to label/tag other images

Zalo AI Challenge - Landmark Identification

Machine Learning platform in-browser for creators

Only in native python & numpy with Keras interface

A simplification of Tensorflow Tensor Operations

TensorFlow Lite Helper for Android to help getting started with TesnorFlow.

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

采用深度学习方法进行刀具识别。

MAINTAINER WANTED -- Decode embedded EXIF meta data from image files written in Pure Golang

Building a Neural Network that classifies faces using OpenCV and Tensorflow

A tutorial series by Preferred.AI

Easily train or fine-tune SOTA computer vision models with one open source training library

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Image Recognition and Information Extraction from Image Documents using Keras and Watson NLU

Extract deep learning features from images using simple python interface

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

Classifying the Blur and Clear Images

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

A Simple Deep Neural Network to classify images made with Keras

Computer Graphics vs Real Photographic Images : A Deep-learning approach

A collection of SOTA Image Classification Models in PyTorch

Performing Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.

NSFW classify model implemented with tensorflow.

One-click image sorting/labelling script

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

ROS2 nodes for computer vision tasks in Tensorflow

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

A collection of deep learning models (PyTorch implemtation)

This repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1

A simple image dataset EDA tool (CLI / Code)

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

UI for working with Deepstack

Catalyst.Classification

image classification via video input, frame-by-frame

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Etiketai is an online tool designed to label images, useful for training AI models

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Deep Learning Bootcamp

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Reference implementations of popular DL models missing from keras-applications & keras-contrib

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

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