Scikit-learn Reviews

EDITLY Reviews

Scikit-learn mentions (28)

• 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 / 3 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 / 12 months 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

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago

EDITLY mentions (8)

• Make Timelapse easily using FFmpeg

  I found https://github.com/mifi/editly to be an intuitive frontend for this type of task - I used it to create a montage of several clips and was able to easily adjust parameters around timestamps and such to get the montage perfect. - Source: Hacker News / 26 days ago

• FFmpeg Lands CLI Multi-Threading as Its "Most Complex Refactoring" in Decades

  Sounds like you already have a process for most of this, but I found https://github.com/mifi/editly to be incredibly helpful to run ffmpeg and make my little time lapse video. Could be useful for others. - Source: Hacker News / 6 months ago

• What are the pros and cons of declarative state vs. chainable APIs?

  For example, this declarative video editor lib has JSON configurations for defining an output video:. Source: 11 months ago

• Create a video from images

  Maybe this tool helps: https://github.com/mifi/editly. Source: over 1 year ago

• Rendering a video like THPS2 🛹

  You seem to misunderstand what ffmpeg is for - namely the stream conversion of media. Only limited filters are available. You can write your own shaders and use cli tools like https://github.com/mifi/editly for automation surely. Source: over 1 year ago