Deep Learning
SMPLify-X is an open-source project that creates an expressive 3D body capture with detailed hands, face, and body from a single image. This project is a result of a research of 7 researchers and computer scientists at Max Planck ETH Center for Learning Systems. The researchers train AI to rich
Artificial Intelligence
Netron is an open-source multi-platform visualizer and editor for artificial intelligence models. It supports many extensions for deep learning, machine learning and neural network models. Netron is using Electron/ NodeJS and it has a binary application release for Windows, Linux and macOS. Netron is popular among data scientists, The project&
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A group of scientists from EPFL (École polytechnique fédérale de Lausanne) in Switzerland have developed a deep-learning based motion-capture software that uses multiple camera views to model the movements of a fly (Drosophila melanogaster) in three dimensions. The ultimate aim is to use this knowledge to design fly-like robots. In
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The increasing prevalence of antibiotic-resistant bacteria is a growing problem around the world. Every year, millions of people are infected with drug-resistant pathogens, and a lot of people die from pneumonia or bloodstream infections. In recent years, researchers have been working to make use of genome sequencing to identify antibiotic-resistant
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IBM Research lab in Zurich Open-Sourced three AI Projects to help accelerate cancer research. The first project named PaccMann (Prediction of anticancer compound sensitivity with Multi-modal attention-based neural networks), is a multimodal deep learning solution that uses data from disparate sources to help predict how cells in diseased tissue will
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Radiation Therapy is a widely used treatment modality for many types of cancer, but it has potential adverse effects to healthy surrounding organs. So, accurately identifying all Organs at Risk (OARs) is a very important step in Radiation Therapy Planning. However, manually doing so is time consuming and error-prone. A
Machine Learning
WEKA (Waikato Environment for Knowledge Analysis) is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. It also supports Deep Learning. It is written in Java and developed at the University of Waikato, New Zealand.
Pathology
Cytomine is a web-based open source solution, aiming to empower whole-slide image processing, & analysis with machine learning algorithms. It's built to ease collaboration among researchers. Cytomine is built by a group of researchers from Montefiore Institute (University of Liège, Belgium) who are developing machine learning algorithms and