547 Open source projects that are alternatives of or similar to atomai

🚘 Easiest Fully Convolutional Networks

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

This is a fully convolutional neural net exercise to detect houses from aerial images.

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Materials informatics framework for ab initio data repositories

PyTorch for Semantic Segmentation

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

Semantic Segmentation Architectures Implemented in PyTorch

Semantically segment the road in the given image.

Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59

Tensorflow implementation : U-net and FCN with global convolution

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

Axon/Myelin segmentation using Deep Learning

A flexible Python front-end inference SDK based on TensorRT

How to run CARLA simulator on colab

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

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

Keras BiseNet architecture implementation

Introduction to Deep Learning: Chainer Tutorials

基于语义分割的矿区无人机影像地物提取实验

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

U-Time: A Fully Convolutional Network for Time Series Segmentation

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

Python samples for Micro-Manager: image acquisition and microscope control system

Lattice light-sheet post-processing utility.

Python Materials Discovery Framework

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, arXiv:2104.09159, 2021.

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Actionness Estimation Using Hybrid Fully Convolutional Networks

U-NET Semantic Segmentation model for Mobile

Multiple file format reading directly into napari using pure Python

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.

AttaNet for real-time semantic segmentation.

Repositório para organizar os materiais e entregas das disciplinas ministradas pelo Prof. Diogo Cezar, na UTFPR-CP em 2018/02.

Thermo_pw is a driver of quantum-ESPRESSO routines for the automatic computation of ab-initio material properties.

Squeeze-unet Semantic Segmentation for embedded devices

A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

HyperSeg - Official PyTorch Implementation

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

Automated 3D cell detection and registration of whole-brain images

kgpml.github.io/deep-vessel/

A high-performance framework for solving phonon and electron Boltzmann equations

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"