MKVToolnix VS Scikit-learn

MKVToolnix Reviews

Scikit-learn Reviews

MKVToolnix mentions (185)

• TRUEHD 7.1 Slow Down

  Fourth, try remuxing one of the problem files. Use the Multiplexer section of MKVToolNix. This will copy the contents to a new MKV file. It is like putting a letter in a new envelope when the original is damaged, but the pages inside are OK. Source: 5 months ago

• Remove Audio Commentary over TV shows

  If the audio tracks are displayed as unknown, the language flag needs to be set. Use tools such as MKVToolNix Header Editor to configure the language for audio & subtitle tracks. Source: 10 months ago

• /r/Plex's Moronic Mondays' No Stupid Questions Thread - 2023-07-10

  As for extracting tracks from MKVs, the low-level way would be to use ffmpeg directly (something like ffmpeg -i video.mkv -map 0:s:0 subtitle.sup would extract the first subtitle stream to a .sup file, the extension used for standalone PGS subtitles), but something like MKVToolNix can probably do it as well. That won't help you too much on its own though, since you now just have an external image-based subtitle... Source: 10 months ago

• Advice needed on anime series with two audio language versions.

  You could use a tool outside of Plex (like MKVToolNix) to combine the video+audio of one version with the audio+subtitles of the other. It gets trickier, or at least more tedious, if the videos aren't exactly the same, since you'd then have to account for any audio/subtitle shifting. Source: 10 months ago

• Plex isn't syncing episodes into database

  Option 3: Change to MKV container. Use MKVToolNix or similar tools and remux to a MKV container. Note that this may cause problems with Dolby Vision. LG TVs must have Dolby Vision in a MP4 container, otherwise the video will not play correctly. Probably affects other Plex clients as well. Source: 10 months ago

Scikit-learn mentions (27)

• 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: 12 months 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

• Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service

  This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago