Alaska
Alaska Project Ideas are mentored by the researchers and collaborators of the University of Alaska and supported by other open-source entities in Alaska, such as Alaska Dev Alliance.
- 2026
- 8
- Cycles
- 3
- Projects
- 20
- Trend
DIRECTORY
Filter by stack, capacity and track record. Every number comes from Google's public archive.
Alaska Project Ideas are mentored by the researchers and collaborators of the University of Alaska and supported by other open-source entities in Alaska, such as Alaska Dev Alliance.
We develop Biomedical and Clinical informatics applications
Building platforms for reproducible AI Research
Computer Vision Data Annotation Platform for AI
EMBL-EBI is a global centre for biological data, developing and maintaining open data resources and open-source software that support life science research worldwide. Our services are used daily by researchers across academia, healthcare, and industry, and span genomics, transcriptomics, metagenomics, molecular interactions, chemistry, and functional annotation.
Open for Innovation
LibreHealth is the foundation of a worldwide ecosystem of open source Health IT innovation and is a place where people can come together to build tools that enhance the quality of healthcare around the world.
Live ML anywhere
MLLAM is a collaborative community dedicated to advancing machine learning applications in weather forecasting, specifically for Limited Area Modeling (LAM). The organization hosts several open-source key repositories, including neural-lam, which focuses on neural weather prediction using graph-based models. Members are from various research institutions and national weather services committed to improve weather forecasting at regional, high-resolution scale.
a fast, flexible machine learning library
++ beneficial uses of computer vision in society
OpenMS is an open-source C++ software library for mass spectrometry data management and analysis with python wrappers. OpenMS houses an expansive modular toolset and ready-to-use scientific workflows in Galaxy, KNIME and nextflow.
OpenVINO is an open‑source toolkit designed to optimize and deploy deep learning models from cloud to edge. It accelerates inference for a wide range of use cases—including computer vision, generative AI, and agentic AI—supporting models from popular frameworks such as PyTorch, TensorFlow, ONNX, and more. With OpenVINO, you can convert and optimize models, then deploy them across diverse Intel hardware and environments, whether on-premises, at the edge, on AI PCs, or in the cloud.
Research on Multimodal Communication
The STE||AR Group is an international team of researchers who understand that a new approach to parallel computation is needed. Our work is crafted around the idea that we need to invent new ways to more efficiently use the resources that we have and use the knowledge that we gain to help guide the creation of the machines of tomorrow. This organization aims to support, coordinate, and distribute research done in this area by creating a marketplace of ideas where concepts are debated and solutions are transparently developed.
Advance biomedical knowledge through innovative data science research
TensorFlow is a ML framework for everyone.
Contributor counts are accepted projects per cycle.
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