Standard Notes Reviews

Scikit-learn Reviews

Standard Notes mentions (128)

• Show HN: Text Lambda, a versatile notebook for your personal data

  This certainly could be useful for me personally, but it would need more functionality. I think the _full_ project could be very useful though. However I would ask, how is this different from e.g. https://standardnotes.com/ and other note systems available ? - Source: Hacker News / 4 months ago

• A rant: improve your comms Evernote. Oh and bye.

  Standard Notes - Fully Private and Secure with Multiple different Editors and Backup options including Self hosting. Source: 7 months ago

• Evernote will restrict free users to 50 notes starting December 4

  I've been using Standard Notes'[0] free tier for a while now without issues. Far superior to Evernote. And apparently EN uses your data for machine learning so they can monetize their free users. Standard operating procedure. [0] https://standardnotes.com/. - Source: Hacker News / 7 months ago

• ⟳ 4 apps added, 72 updated at f-droid.org

  Standard Notes (version 3.178.0): An end-to-end encrypted note-taking app for digitalists and professionals. Source: 8 months ago

• Beaver Notes: A Privacy-Focused Open-Source Note-Taking App

  - How do I get my data OUT of this thing, if I decide it isn’t right for me? C) If you’re going to go down the “unlike other note-taking platforms” route, it might be valuable to explicitly help people make the comparison in terms of features/approaches/architecture/trade-offs etc. How should one compare this against [Obsidian](https://obsidian.md)? [Simplenote](https://simplenote.com)?... - Source: Hacker News / 11 months ago

Scikit-learn mentions (29)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 17 days ago

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago