Sourcegraph VS Datature

That's pretty much what https://sourcegraph.com/ are selling, is it not? - Source: Hacker News / 2 months ago

Sourcegraph | REMOTE | Full-Time | Engineering Manager, Machine Learning Engineer, Software Engineer, Developer Advocate, Enterprise Product Manager, Technical Advisor | https://sourcegraph.com Sourcegraph is a code AI platform that makes it easy to read, write, and fix code–even in big, complex codebases. We are building Cody, an AI coding assistant that uses code search and code intelligence to help devs quickly... - Source: Hacker News / 3 months ago

There are workarounds though... Which are arguably much better. Source: about 1 year ago

Sourcegraph.com — Java, Go, Python, Node.js, etc., code search/cross-references, free for Open Source. - Source: dev.to / over 1 year ago

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Of course, you can write your own code, in that case, think of it as an interactive matplotlib then! Also, it helps to mention we run a startup Datature, that is a no-code MLOps platform, hence explaining why we are focusing on removing the coding portion of this process :P. Source: almost 3 years ago

A while ago, we announced here that we built Datature and a bunch of users gave feedback and even built MaskRCNN models on our platform! However, we were sending collab updates back and forth - it was a mess. Hence we made Portal for any TensorFlow users to load TF2.0 models (any models off TF2 Model Hub works) and inspect your model visually on your dataset. Source: almost 3 years ago

If you'd like to train a tensorflow object detection model, you can check out https://datature.io - theres about 30 different models you can select from and you can add augmentation to your pipeline. Source: almost 3 years ago

If you will be training an object detection model at the end, you can check out https://datature.io - you can annotate your data in browser (no installation) and train an object detection model + deploy when you are done for free! Source: almost 3 years ago

Feel free to try it out at https://datature.io - additionally, we are always looking out for feedback and feature requests. We are working more MLOps feature to support teams, so let us know of your thoughts :). Source: about 3 years ago