Shutter Encoder Reviews

Scikit-learn Reviews

Shutter Encoder mentions (43)

• Exporting as an Image Sequence? (Da Vinci Resolve 18)

  If you're just trying to convert a video file to an image sequence you can do that in Shutter Encoder. Source: over 1 year ago

• Batching trimming videos

  You can this with Shutter Encoder using 'Cut without re-encoding' function. Source: about 2 years ago

• movavi video editor increase my movie 1,8 gb to 8,7 gb

  You may have better chance using Shutter Encoder. Source: over 2 years ago

• AVID MC - Infinite Transcode of Single Clip

  I'd recommend against Handbrake. Handbrake is awesome if you need to make H.264 or H.265, but that compounds generation loss going from very lossy to very lossy. I'd strongly recommend using Shutter Encoder to make ProRes or DNxHR instead. It's based on ffmpeg, which is a big part of the underlying functionality of Handbrake too. They're both just more user-friendly interfaces for the same tool. Source: over 2 years ago

• App to speed up video

  You can use Shutter Encoder with 'Conform' function and set the desired output FPS. Source: over 2 years ago

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