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

Brevitas: quantization-aware training in PyTorch

Real time instance segmentation with Mask R-CNN, live from webcam feed.

图像分割算法deeplab_v3+，基于tensorflow，中文注释，摄像头可用

Our deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

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

Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Deploying Keras models using TensorFlow Serving and Flask

Easily train or fine-tune SOTA computer vision models with one open source training library

🍎 My own face recognition with deep neural networks.

Model for document segmentation trained on the midv-500-models dataset.

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Deep Learning Bootcamp

The python code of Chan-Vese model and RSF model for image segmentation

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

Differentiable architecture search for convolutional and recurrent networks

Only in native python & numpy with Keras interface

Deep learning applied to georeferenced datasets

✌Real-time translation of the Auslan Alphabet

Winning solution for the Kaggle TGS Salt Identification Challenge.

Image registration using pytorch

Keras BiseNet architecture implementation

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

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

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

Experiments with Mobile

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

Retrained InceptionV3 image classification model

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Tensorflow implementation : U-net and FCN with global convolution

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.

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

detect stages in video automatically

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

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.

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)