Keep your GPUs running
On-Premise Continuous Integration & Delivery for Machine Learning
~ (zsh)
> git add model.py train.py
> git commit -m "Smarter CNN's [lw]"
> git push origin train/lenet-1
Push
It starts with a commit and push.
Build
Build gets dispatched to agents.
Collect
Collect learning metrics in realtime.
Built by deep learning experts
We built Losswise to make it easy to track the progress of a machine learning project. With Losswise, we find we spend less time worrying about the operational complexity of training models so we can focus on other things such as improving datasets or experimenting with new model architectures.
Compare
Results are compiled in searchable, sortable, and explorable tables, so you can figure out what works and what doesn't.
Get started today.
Choose the plan that's right for you and your team.
Free Plan
- 1 user
- Unlimited experiments
- Unlimited training time (Limited time only)
- Unlimited data retention
- Cancel anytime
Team Plan
- Unlimited users
- Unlimited experiments
- Unlimited training time (Limited time only)
- Unlimited data retention
- Cancel anytime
FAQs
What is Losswise's security and privacy policy?
Losswise is obsessed with keeping customer's data secure and private. Our servers are hosted on AWS and we follow AWS best security guidelines. We do not access anyone's metrics or logs unless it's required to solve a customer problem. The architecture of our product allows users to keep code and data on their servers and lets us handle the metrics and logs, following the principle of least privilege.
Can I cancel anytime?
Absolutely! You can always cancel and we will send you an email with all your metrics data if you wish.
VCS Integration
Losswise integrates with Github, Bitbucket, and more. Every time you commit code, Losswise triggers a build.
Provisioning
Losswise agents run builds on your servers, whether they are on-prem or in the cloud. Super easy agent setup.
Monitoring & Analytics
Visualize logs, loss functions, and predictions. Losswise provides super simple API's to track ML performance.