2007 Open source projects that are alternatives of or similar to Tf Mobilenet V2

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

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

OpenMMLab Image Classification Toolbox and Benchmark

TensorFlow Implementation of state-of-the-art models since 2012

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

Object classification with CIFAR-10 using transfer learning

Implementation of EfficientNet model. Keras and TensorFlow Keras.

CNN image classifier implemented in Keras Notebook 🖼️.

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Official Implementation of 'Fast AutoAugment' in PyTorch.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Implementation of Quickdraw - an online game developed by Google

RMDL: Random Multimodel Deep Learning for Classification

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Deep learning codes and projects using Python

A specially designed light version of Fast AutoAugment

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

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Label Studio is a multi-type data labeling and annotation tool with standardized output format

MobileNetV3 in pytorch and ImageNet pretrained models

Train the HRNet model on ImageNet

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

deeplearning.ai , By Andrew Ng, All video link

TensorFlow and Deep Learning Tutorials

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Medical image preprocessing and augmentation toolkit for deep learning

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

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

SincNet is a neural architecture for efficiently processing raw audio samples.

Caffe Implementation of Google's MobileNets (v1 and v2)

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

A photo OCR project aims to output DMS messages contained in sign structure images.

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

A simple example on Image Classification in Node.js with TensorFlow.js

🍊 🎑 Orange3 add-on for dealing with image related tasks

Service Classification based on Service Description

Classification models trained on ImageNet. Keras.

Music recommender using deep learning with Keras and TensorFlow

CNN visualization tool in TensorFlow

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Best Practices, code samples, and documentation for Computer Vision.

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

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

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

The Official Deep Learning Framework for Route-based Place Recognition

PSPNet in Chainer

Trial on kaggle imagenet object localization by yolo v3 in google cloud