Based on our record, SoundSource should be more popular than Scikit-learn. It has been mentiond 125 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is hilariously biased. This is HN, you're not talking to people who don't know what Linux is. Hell, a huge portion of us are linux engineers of various sorts. You're also in a thread literally about a linux app. Anyway. I would never, ever use Linux as a desktop environment over OSX after the experiences I've had with it over the last 20+ years. OSX GUI applications absolutely blow everything that Linux has... - Source: Hacker News / 10 months ago
Https://rogueamoeba.com/soundsource/ (this has parametric EQ but it's a bit buried IIRC. It also has built-in support for AutoEQ according to this page so you might have to do almost nothing if you like the Harman curve). Source: 12 months ago
I've looked at https://rogueamoeba.com/soundsource/ and the features it has seems okay such as per-app volume levels. But I'd like it so when I connect a certain pair of headphones, then a pre-defined output and input device is set. So for Headphone A, the output might be set to this pair but the mic will be the build-in mic in my Macbook. And for Headphone B, both the output and input should be set to this... Source: 12 months ago
Https://rogueamoeba.com/soundsource/ or https://github.com/kyleneideck/BackgroundMusic. Source: about 1 year ago
Soundsource - per app volume control just like windows. Source: about 1 year ago
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 / 5 days ago
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
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
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
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
Sound Control - App-specific volume control
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
eqMac 2 - The open-source macOS audio optimizer 🎛️
OpenCV - OpenCV is the world's biggest computer vision library
EarTrumpet - Volume Control for Windows
NumPy - NumPy is the fundamental package for scientific computing with Python