Become a sponsor to Alessio Russo
Friendly Environment for Neural Networks (FENN) is a lightweight Python framework for building ML/DL workflows and LLM agents faster. It provides prebuilt trainers, reusable agent templates, structured logging, configuration management, and other developer-friendly tools that help researchers and builders move from idea to working prototype with less boilerplate.
I’m building FENN to make machine learning engineering simpler, more modular, and more approachable. Sponsorship helps support ongoing development, documentation, examples, and new features for the community.
By becoming a sponsor, you help cover website hosting, domain costs, and the infrastructure needed to keep FENN growing. I also plan to host FENN templates on a private server and build a dedicated platform where users can register, track experiments, launch remote code, share code and results, and collaborate more easily. Your support helps turn FENN from a Python framework into a complete ecosystem for faster, cleaner, and more accessible ML/DL development. Sponsorship directly supports ongoing development, documentation, examples, infrastructure, and the long-term sustainability of the project.
0% towards 5 monthly sponsors goal
Be the first to sponsor this goal!
$5 a month
SelectSupporter
Help keep FENN active, reliable, and improving. Your sponsorship supports bug fixes, documentation, examples, maintenance, and the small quality-of-life improvements that make the framework better for everyone.
$10 a month
SelectBuilder
Help build the next generation of FENN. Your sponsorship supports new templates, integrations, agent workflows, experiment tooling, and usability improvements. Sponsors will be cited on the relevant pages and invited to contribute feedback on roadmap priorities, with early access to previews when available.
$150 a month
SelectStrategic Sponsor
Partner with FENN’s growth. This tier is designed for teams and companies that want to actively support the future of ML/DL and LLM tooling. Includes prominent recognition, priority feedback, roadmap input, and support for high-impact features that benefit the wider community.