1. I’m glad this is the most upvoted comment in order to provide visibility and
2. I’m glad the founder wants to make it right apparently by having the alleged freelancer send details to rectify
but the the fact that the founder doesn’t immediately refute that this occurred and only wants to now potentially make it right by having the freelancer send his details over to get paid is very troubling for me. I hope this comes out as a false allegation but if not I wouldn’t want to support this at all.
Data Science models, today are scattered, and as an engineer and architect of systems, I’ve personally experienced, there is a lot of time spent on trying out the right models, versioning, collaboration and execution. Not everything works alongside everything. We’ve now made this achievable by running a cloud infrastructure where you can not only explore the DS projects, but also run it on the cloud with 1-click. Collaborate with your fellow team mates and work together on a ready Jupyter ecosystem together.
Here are some key things to know:
• Explore and run, 1000+ GitHub projects on the cloud
• Unlimited open source Cloudbooks for free
• We have spent time and effort to curate the top projects that our team and existing users nominated for and tried to keep the UX clean and easy to use. Suggest any that you’d want to see in here, a one-click deployment worthy project.
Basically we allow users to make their own personal editable copies of the Cloudbook. When you "Run", it is first replicating the Cloudbook into your account and then running. You can edit the code in your copy without affecting the main Cloudbook. Free unlimited CPU, RAM & Storage gets included with every Cloudbook for you to make continuous edits and perform repeat runs, including long running run operations.
Not sure how we can achieve this without a registration. Do you have something in mind?
Still very far from smooth (<10) click experience.
The workflow took a while to get started:
Manually create account (no external auth option such as Github?) -> verify account -> create notebook -> set pw for notebook -> run notebook
I did all that only to find that no required libraries are there.... not even Pandas?
By comparision Google Colab onboarding is much smoother and you know you are getting a working Tensorflow, Pandas, Plotly etc out the box. Sure you pay the privacy tax to Google for this smoothness.
My biases:
- I've installed and maintain Littlest Jupyter Hub instance for teammates at my organization.
- I teach using local Anaconda installation.
- I use myBinder and Google Colab.
At the very least you should curate the packages so they run out of the box, without fiddling with requirements.txt, yaml, pip install, conda etc.
Adding features:
- Login with Google & Github accounts
- Changing default type setting to "Data Science Notebook"
- A package library with one-click install
- Simpler UX (reduced clicks required)
- Removing the mandatory plan selection - Starting every user on free plan by default
You can create your own Cloudbooks and use our unlimited infra for your next AI experiment.
If your code & data is open, our infra is free for you. If your code & data is private, then plans start at just $25/m. GPU's are available on the $75/m and $150/m plan. Do give it a try for your next AI / Data Science project.
More info here: https://blobcity.com
Something something strong claims.
That must be the closest I've seen to a self refuting claim on here in a long time. Would love to hear more about how you do either the truly unlimited part or the free part practically.
Please do give it a try. Only condition, your code & data must be open source if you want it on the free plan. Else you can take a paid plan. Unlimited part remains the same, but it won’t be free for private use.
And a link to "learn more!"
jakevdp/PythonDataScienceHandbook - 27k stars https://cloud.blobcity.com/#/ps/view-cloudbook/4dcbb39e-5504...
ageron/handson-ml - 21.7k stars https://cloud.blobcity.com/#/ps/view-cloudbook/67219954-282d...
fchollet/deep-learning-with-python-notebooks - 11.7k stars https://cloud.blobcity.com/#/ps/view-cloudbook/f4ee1d51-fe2d...
ageron/handson-ml2 - 11.6k https://cloud.blobcity.com/#/ps/view-cloudbook/febe3f7a-b244...
fastai/fastbook - 10.7k stars https://cloud.blobcity.com/#/ps/view-cloudbook/b49537b2-73b9...
httctgk/PRML - 9.3k stars https://cloud.blobcity.com/#/ps/view-cloudbook/3f358679-853d...
fastai/numerical-linear-algebra - 7.5k stars https://cloud.blobcity.com/#/ps/view-cloudbook/642e0518-a541...
justmarkham/scikit-learn-videos - 3k stars https://cloud.blobcity.com/#/ps/view-cloudbook/f171c24a-481c...
jakevdp/WhirlwindTourOfPython - 2.6k stars https://cloud.blobcity.com/#/ps/view-cloudbook/2dbfc8d1-ca42...
twosigma/beakerx - 2.5k stars https://cloud.blobcity.com/#/ps/view-cloudbook/c8aced7c-d5d5...