FilePizza Reviews

Scikit-learn Reviews

FilePizza mentions (35)

• LocalSend: Open-source, cross-platform file sharing to nearby devices

  There are a few browser based p2p file sharing tools [1] and a bunch of CLI tools out there as well for the same job. # Browser Based 1. FilePizza https://file.pizza/. - Source: Hacker News / 4 months ago

• How to copy a file between devices?

  Here is a list of open source options. This isn't the first time I have shared this on here either. Perhaps this is another sign that web search is failing us. SnapDrop - Site: https://snapdrop.net/ - Source: https://github.com/RobinLinus/snapdrop - Source: https://github.com/szimek/sharedrop - Source: https://github.com/kern/filepizza - - Source: Hacker News / 5 months ago

• This page exists only if someone is looking at it

  Https://file.pizza/ is another example of browser based peer to peer file transfer. - Source: Hacker News / 10 months ago

• What's the best, fastest, and free way for someone to share their 1.6 TB audiobook collection with me?

  Alternatively, if going the p2p route, they could try something like file.pizza. Source: 12 months ago

• CLI tools hidden in the Python standard library

  FYI: you can use https://file.pizza/ for sending the file outside the network. - Source: Hacker News / about 1 year 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 / 22 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