333 Open source projects that are alternatives of or similar to Group Normalization Tensorflow

[ICLR2022] official implementation of UniFormer

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

Image annotation tool to make Machine Learning or others stuffs

Deep Metric Transfer for Label Propagation with Limited Annotated Data

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

Balanced Multiclass Image Classification with TensorFlow on Python.

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

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

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

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

PyTorch implementation of shake-drop regularization

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

image classifier, retrained for specific classes

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Chrome browser extension for using TensorFlow image recognition on web pages

LibFewShot: A Comprehensive Library for Few-shot Learning.

Binary Image Classification in TensorFlow

Real time image classification with React Native and Tensorflow lite.

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

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

Traffic Sign Recognition with Keras.

Pytorch implementation of pyramidnet

📖 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.

Impementation of MobileNetV2 in pytorch

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

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

TensorFlow implementation of GoogLeNet and Inception for image classification.

Accelerated deep learning R&D

A UI tool for quickly training image classifiers in the browser

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

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.

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

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