Connect with the
ML Performance Community
Our team extends beyond our employee base. Whether it’s interacting around feature feedback on forums, incorporating pull requests into our product releases, or swapping sparsification stories at events, we wouldn’t be where we are without you. Share your expertise and learn from others by joining the ML Performance Community discussions on Discourse and Slack.
Install our ML Tools
Prune and quantize your models for inference performance.
Install and use our model sparsification tools
Our open-sourced model spasification tools, Sparsify and SparseML, can be found on PyPI. More information can be found on our Docs website. To see the code, visit our GitHub repo.
Sparse Model Zoo
Want to get started quickly using one of our optimized models? Our model repo, the SparseZoo, is publicly available.
Our team and community are here for you.
For detailed documentation, visit our docs page.
For general help or questions, use our GitHub discussions. Everyone is welcome!
For bugs or feature requests, use its repo issue tracker:
For more general questions about Neural Magic, please email us at [email protected]
Engage with the ML performance Community
Meet like-minded people. Share your ML performance expertise. Learn from others.
Join our online communities to interact with our product and engineering teams along with other Neural Magic users and data scientists interested in simplifying and accelerating ML performance.
Join the conversation today:
See how Neural Magic contributes to the research community.
Our employees are passionate about contributing research back to the ML community at large. View our conference-approved research papers below.
Learn from Neural Magic team and the community.
Go in-depth on the Deep Sparse Platform, our open source deep learning sparsification tools and a free CPU inference engine.
If our brains processed information like today’s ML products consume computing power, you could fry an egg on your head. Learn why we need to rethink how we’re building products that rely on ML and AI.
Contrary to popular belief, pruning deep learning models is not that hard. Get an overview or pruning, as well as easy ways to prune your deep learning models.
Join the community to learn and have fun, virtually and [soon] in person.
Catch up with your favorite community folks. Ask your toughest questions, meet local users, and walk away with some brand new swag.
Do you have a passion for machine learning performance? Want to join us as an event speaker, blog writer, or event panelist? Have other ideas? We’d love to hear from you. Contact us here.
Get insights and provide feedback on our community roadmap
See our community product roadmap, and vote on it, here. We would love to hear from you.
Get the latest ML performance tidbits.
You can get the latest news, webinar and event invites, research papers, and other ML performance tidbits by subscribing to the Neural Magic community email communications.