559 Open source projects that are alternatives of or similar to Tf.keras Commonly Used Models

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

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Image registration using pytorch

Extract deep learning features from images using simple python interface

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

Low Light Image Enhancement

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

OpenMMLab Image Classification Toolbox and Benchmark

Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt

Keras implementation of a ResNet-CAM model

Zalo AI Challenge - Music Genre Classification

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

Bottleneck Transformers for Visual Recognition

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

Table Detection using Deep Learning

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Detecting skin cancer in encrypted images with TensorFlow

A library for transfer learning by reusing parts of TensorFlow models.

R package for generating color palettes from arbitrary images.

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

This repository contains the dataset and the source code for the classification of food categories from meal images.

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

No description or website provided.

Sorts your image at high speed

VFRAME: Visual Forensics and Metadata Extraction

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Automatic mapping of center pivot irrigation systems, planted forests and rural infrastructures

One-shot learning for image classification using Siamese neural networks

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

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

semantic segmentation pytorch 语义分割

Implementation of Quickdraw - an online game developed by Google

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

No description or website provided.

PyTorch Implementation for Segmentation and Saliency Prediction

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

TensorFlow ImageNet demo using ROS sensor_msgs/Image

Tensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

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

No description or website provided.

Serving PyTorch models with TorchServe 🔥

Enable multiple players to connect to the same enrironment (UNET), fly a drone, and watch others fly their drones

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

Robotic simulation in Unity with ROS integration.

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Automatic License Plate Recognition System for Vietnamese Plates

.NET library to easily create Voice Command Control feature.

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Keras package for region-based convolutional neural networks (RCNNs)

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.