354 Open source projects that are alternatives of or similar to Wildcat.pytorch

Residual Attention Network for Image Classification

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

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

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

An example of using Tensorflow with Unity for image classification and object detection.

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

A script in python to organize your images by similarity.

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Object classification with CIFAR-10 using transfer learning

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.

RPN+(Tensorflow) for people detection

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

Pytorch version of Realtime Multi-Person Pose Estimation project

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

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

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

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.

Fast Fourier Color Constancy: an auto white balance solution with machine learning in Fourier space

Sandbox for training deep learning networks

Almost any Image classification problem using pytorch

Image Captions Generation with Spatial and Channel-wise Attention

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

AutoML frAmework for Neural Networks

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

Nudity detection with JavaScript and HTMLCanvas

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.

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

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)

Code and Pretrained model for IGCV3

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

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

A smart album for Android which use tensorflow to classify images

Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments

A curated list of deep learning image classification papers and codes

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

Bridging the gap Between Stability and Scalability in Neural Architecture Search

A Keras implementation of MobileNetV3.

CNN image classifier implemented in Keras Notebook 🖼️.

Accelerated deep learning R&D

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

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.

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Image classification for everyone.

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

A specially designed light version of Fast AutoAugment

Image classification: efficientnet/resnest/seresnext/.....

Pytorch implementation for LapSRN (CVPR2017)

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

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

Facial Expression Recognition using Residual Masking Network

Deep learning codes and projects using Python

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)

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

TensorFlow implementation of GoogLeNet and Inception for image classification.

A UI tool for quickly training image classifiers in the browser

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

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