357 Open source projects that are alternatives of or similar to MixNet-PyTorch

A list of popular deep learning models related to classification, segmentation and detection problems

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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

Real time image classification with React Native and Tensorflow lite.

Deep learning codes and projects using Python

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

Pre-trained VGG-Net Model for image classification using tensorflow

Traffic Sign Recognition with Keras.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

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.

LibFewShot: A Comprehensive Library for Few-shot Learning.

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

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

Nudity detection with JavaScript and HTMLCanvas

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

A Keras implementation of MobileNetV3.

UI for Keras to implement image classification written in python and django

A specially designed light version of Fast AutoAugment

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

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

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

A short tutorial on performing fine tuning or transfer learning in PyTorch.

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.

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

Chrome browser extension for using TensorFlow image recognition on web pages

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

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

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

Binary Image Classification in TensorFlow

Image classification for everyone.

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

Code and Pretrained model for IGCV3

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

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

Image annotation tool to make Machine Learning or others stuffs

Sandbox for training deep learning networks

Pytorch implementation of pyramidnet

A script in python to organize your images by similarity.

PyTorch implementation of shake-drop regularization

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Impementation of MobileNetV2 in pytorch

A machine learning experiment

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

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)

image classifier, retrained for specific classes

TensorFlow implementation of GoogLeNet and Inception for image classification.

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

implement AlexNet with C / convolutional nerual network / machine learning / computer vision