Artlist VS Scikit-learn

Artlist Reviews

Scikit-learn Reviews

Artlist mentions (61)

• Music Library Question

  When it comes to giving your client music options, do you subscribe to websites like artlist.io and shoulder the cost in order to have access? Or do you pass that cost along to your client? Source: 5 months ago

• Missing Audio Tracks

  I created a video with a song I downloaded from artlist.io, the audio track rendered fine. The track plays on the mp4 file on my PC, however when I upload it to YouTube, the track is missing. All other audio works fine, just the music track is gone. There is no copyright claim, nothing, the track is just not there. I have a license to use music off artlist.io, am I doing something wrong? What is going on? Source: 9 months ago

• Year Walking

  This is my first attempt to make an AI video. Used Runway with my own photo series “Year Walking”(shot in Norway) as reference for the art direction. Music is by Alon Peretz licensed on Artlist Cut and color graded with Da Vinci Reaolve. Source: 9 months ago

• Best places for sound effects

  I pay for a artlist.io subscription. Music + sound effects. Source: 10 months ago

• Where do i begin?

  Hey! Just start with making some cuts, press cmd+K in premiere pro and start putting together the highlight roll. Add a music sound track from something like artlist.io or pixabay.com. Then just export it as an mp4 and post! Source: 10 months 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 / 2 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 / 11 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: 12 months 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: about 1 year ago