Enterprise Grade Design

Build to scale

Eclipse Deeplearning4j and Skymind took a bold step in joining the Eclipse Foundation in providing our global community with an advanced, scalable, and business-friendly environment of an open source framework to collaborate and innovate in. This alliance assures that Eclipse Deeplearning4j is an open source platform that is freely available and accessible to all, individuals and organizations alike.

At Skymind, we create software using the open source way, a set of principles built upon an open forum for ideas where communities can form around problem-solving or developing new over-the-edge technologies. Hence, collaborators can utilize our open source platform and other Skymind solutions for a range of projects and innovations fueled by AI and for AI adoption.

Why open source

An open source for AI framework gives every enterprise the freedom to experiment, innovate, and solve problems utilizing AI without restrictions. An AI open source framework is timeless and supports an open standard of security and flexibility, fueling the growth and advancement of deep learning and by that, propelling the imminent rise of AI.

Perpetual

Unlike proprietary solutions, there’s no risk of suspension or termination in open source software. Our belief in open source governance ensure that anyone can contribute to making improvements in the software without any confinements or restrictions from collaborative efforts.

Reliability

The open source software is highly reliable as it is continuously being worked on by thousands of skilled engineers building, examining and testing code in real-time constantly, this will inadvertently provide accountability and make improvements to the system over time.

Flexibility

Open source software offers flexibility, freedom to modify and adopt the software to meet business needs. Unlike commercial software where it is limited to the vendor’s requirements and limits, open source users have complete control over their software.

Innovation

The beauty of open source is that it’s a huge ecosystem for collaborators to come up with novel ideas where anyone from the open that open source communities should be free to innovate and contribute.

Cost

There is little to no cost for open source software. It revolves around community-based propagation and doesn’t require licensing fees, which can result in significant cost savings when deploying solutions. Each and every feature that a user likes to acquire can be integrated to make the project exclusive and unique.

Security

The open community-to-enterprise development model often results in more secure software. Bugs and other issues tend to be dealt with as soon as they’re caught by the community members. The end-users, experts, as well as the open source community at large can verify that the software does exactly what it claims to do.

Open Source Life Cycle

Creating, Contributing, Supporting

Skymind is working together with ecosystem partners to solve complex problems in business and technology through open source collaboration. We are dedicated to building sustainable AI ecosystems around open source projects to accelerate the development of technology and its industrial deployment.

We build open source solutions for the enterprise and connect our engineers to open source communities. Skymind seeks to identify and elevate the best ideas and focuses on supporting our community by contributing to the coding sets and creating products from upstream projects. The open source software development model is characterized by processes and values that set it apart from the traditional proprietary development model.

Creating

We develop community-built, open source software that meets the needs (partially or fully) of our users. By combining and augmenting parallel or related efforts, our open source AI tool makes for a society that is more efficient and adept at producing higher-quality software. Furthermore, it allows for greater transparency of processes, be it the transparency necessary to check a government action or the quasi-governmental function of a private company’s software.

Contributing

Open source has become the de facto way to build software, not only in technology but across diverse industries. We build up the community around our open source projects by empowering users through documentation, being responsive to issues, and encouraging them to participate. In Skymind, our focus is to openly engage our users who actively participate in open source projects in a number of ways, from technical support to capital.

Supporting

We primarily work to develop our own projects and collaborate on existing ones whereby our support and contributive works are mainly with open source communities with projects within the AI ecosystem. Working with open source AI tools for projects can improve the quality of work for users alike. As is our vision, we focus our efforts on adding and leveraging features of the open source project that will ultimately benefit and contribute to an AI ecosystem. Joint collaborative efforts on an open source AI project helps to improve the system based on real-world experience with proven, working solutions.

Our Open Source Project

The open source software development model has different processes and sets of values from traditional proprietary software development models. We build open source solutions for the enterprise and connect our engineers to open source communities to identify and elevate the best ideas, supporting the community by contributing to the code and creating products from upstream projects.

We have benefitted from and interop with major open source communities that are driving AI innovation such as but not limited to Linux, Kubernetes, Hadoop, and Vert.x to name a few. We continue to advocate for an open source development model for these communities by contributing source codes, helping with licensing, and adopting open-governance policies. Moreover, we have recently joined the Eclipse Foundation as a strategic member and contributed the machine-learning suite included in the DL4J as part of our initiatives to propel AI.

By tapping into the collective talent and innovation of open source communities, we believe we can create better software. This collaboration helps fuel much of the technology we use today, from open source platforms like Linux and Kubernetes to open source browsers like Firefox and Chromium.

We respect your interests and passion for Open Source. We are raising you up for your passion to aim high. Let’s grow up together in our Programs.

As Skymind works toward the global industrialization of AI, we seek to inspire more curious minds who are passionate about contributing to our open source AI tool. Rest assured, the open source communities have our support and we work with their interests in mind to ensure that each project achieves its purpose to develop software that pushes the boundaries of technological capabilities.

Open Source Community

The open source software development model has different processes and sets of values from traditional proprietary software development models. We build open source solutions for the enterprise and connect our engineers to open source communities to identify and elevate the best ideas, supporting the community by contributing to the code and creating products from upstream projects.

We have benefitted from and interop with major open source communities that are driving AI innovation such as but not limited to Linux, Kubernetes, Hadoop, and Vert.x to name a few. We continue to advocate for an open source development model for these communities by contributing source codes, helping with licensing, and adopting open-governance policies. Moreover, we have recently joined the Eclipse Foundation as a strategic member and contributed the machine-learning suite included in the DL4J as part of our initiatives to propel AI.

3 employees working in co working space

By tapping into the collective talent and innovation of open source communities, we believe we can create better software. This collaboration helps fuel much of the technology we use today, from open source platforms like Linux and Kubernetes to open source browsers like Firefox and Chromium.

We respect your interests and passion for Open Source. We are raising you up for your passion to aim high. Let’s grow up together in our Programs.

As Skymind works toward the global industrialization of AI, we seek to inspire more curious minds who are passionate about contributing to our open source AI tool. Rest assured, the open source communities have our support and we work with their interests in mind to ensure that each project achieves its purpose to develop software that pushes the boundaries of technological capabilities.

3 employees working in co working space

Our involvement of open source software in the AI ecosystem

Collaboration inspires innovation

Open source development promotes stability, security, and innovation. By opening the code to widespread examination, more people take part in finding its bugs and security flaws, in testing for broad compatibility across platforms, and in providing new ideas.

We provide the tools and components that developers need to fuel their AI innovation. Through our membership with the eclipse foundation we participate in a vendor neutral ecosystem to build and deploy open source AI solutions for use in our own applications as well as supporting others in the use of these tools.

The Eclipse Deeplearning4j project provides a set of tools for building and deploying AI models. Initially focused on the java ecosystem, the eclipse deeplearning4j suite of tools now focuses on interop with the vibrant python ecosystem for providing a way of training models in java or importing models from different ecosystems to deploy models. Leveraging the JVM’s innovation in developments such as graalvm, deeplearning4j allows for seamless packaging and execution of machine learning models suitable for any deployment. Supported frameworks include onnx, tensorflow and pytorch. This allows for deployment on any device including mobile devices, raspberry pi, jetson nano and also leveraged in the apache spark ecosystem.

Konduit Serving is a framework for building and deploying machine learning pipelines. Built on top of our years of expertise of building deep learning tools, konduit serving allows developers to build any sort of machine learning pipeline using tools such as opencv, tensorflow, and even running python scripts. Developers access and combine these tools via a modular abstraction called a pipeline step. These pipelines are generated via java code, or command line tools. A konduit serving pipeline combined with graalvm allows the user to deploy standalone binaries for deploying machine learning models.

Javacpp is a tool for automatically packaging c++ code in standardized java archives called jar files. It allows developers to automatically generate native bindings to fast c++ code. Javacpp provides a number of packages by default for running machine learning workloads such as opencv, tensorflow, and pyotorch. It also provides other popular tools such as LLVM. This allows java developers to run native c++ code right in their code similar to what you might find in the python ecosystem.

Welcome to our community

By tapping into the collective talent and innovation of open source communities, we believe we can create better software. This collaboration helps fuel much of the technology we use today, from open source platforms like Linux and Kubernetes to open source browsers like Firefox and Chromium.