712 Open source projects that are alternatives of or similar to Mobilenetv2 Pytorch

Official Implementation of 'Fast AutoAugment' in PyTorch.

Deep learning codes and projects using Python

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

CNN image classifier implemented in Keras Notebook 🖼️.

Implementation of Quickdraw - an online game developed by Google

RMDL: Random Multimodel Deep Learning for Classification

Keras implementation of a ResNet-CAM model

A simple, flexible, and extensible template for PyTorch. It's beautiful.

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

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

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

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

Object classification with CIFAR-10 using transfer learning

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

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

A Keras implementation of MobileNetV2.

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

A specially designed light version of Fast AutoAugment

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

Face identification with CNN + TPE using Keras

A UI tool for quickly training image classifiers in the browser

Facelet-Bank for Fast Portrait Manipulation (pytorch)

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

Natural Language Processing with TensorFlow, published by Packt

A TensorFlow implementation of Group Normalization on the task of image classification

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Simple program to learn CNN (LeNet-5) in pure C

CNN acceleration on virtex-7 FPGA with verilog HDL

Tutorials of deep learning for computer vision.

A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

A neural network that transforms a design mock-up into a static website.

Hierarchical Attention Networks for document classification

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

MTCNN with Motion Detection, on Raspberry Pi with Love

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

LCNN: End-to-End Wireframe Parsing

PyTorch Implementation of Deformable Convolution

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Symbolic Music Genre Transfer with CycleGAN

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

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

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Semantic JPEG image compression using deep convolutional neural network (CNN)

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Image classification for everyone.

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

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

3D image classification using CNN (Convolutional Neural Network)

A simple Spatial Pyramid Pooling layer which could be added in CNN

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

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

Artificial Intelligence Learning Notes.

A generalized gradient-based CNN visualization technique

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks