Moom
Rectangle
Magnet Window Manager
Mizage Divvy
HyperDock
AquaSnap
BetterTouchTool
Spectacle App
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Moom Scikit-learnMoom is recommended for Mac users who often work with multiple windows and need a better way to organize their desktop space. It's ideal for professionals, productivity enthusiasts, and anyone who values streamlined workflows when managing numerous applications simultaneously.
Based on our record, Moom should be more popular than Scikit-learn. It has been mentiond 67 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.
We may actually be seeing the moment where Moom[1] is no longer an essential OS X app. It can solve both window tiling and the "maximize problem" on mac and has been my first install for many years. Here's to hoping that Apple can get one basic OS feature right once. [1] https://manytricks.com/moom/. - Source: Hacker News / almost 2 years ago
Moomโฝยนโพ offers the ability to save and restore window layouts, including triggering saved layouts on addition or removal of displays. โฝยนโพhttps://manytricks.com/moom/. - Source: Hacker News / about 2 years ago
Most of the time, I donโt. It sounds silly but macOS window management works best when you donโt micromanage and just let windows pile up at whichever size fits their content, kind of like papers on a desk. Instead I group windows by virtual desktop (space) on two monitors, switching out virtual desktops to mix and match sets of windows. Individual windows are rarely moved or resized. On the odd occasion I need... - Source: Hacker News / over 2 years ago
I similarly find something like Yabai a bit too heavy-handed for my needs, and instead prefer Moom[0]. I find that only need tiling occasionally, and for that Moom excels since it doesnโt add any new key shortcuts to memorize and is only ever visibly present when hovering your cursor over a windowโs green button. Its Aero Snap equivalent is optional and turned off by default too, which is great for me (I trigger... - Source: Hacker News / over 2 years ago
I ended up using Moom [1] to work around some of the oddities of macOS window management. It's relatively low-feature, mostly for window arrangements and sizing. I use it on a vertical monitor to split window placement horizontally, since macOS can only natively do vertical splits. It has other features too (like saving layouts and keyboard shortcuts), but I don't use them that much. 1. https://manytricks.com/moom/. - Source: Hacker News / about 3 years ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 3 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 3 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 4 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 6 months ago
Rectangle - Window management app based on Spectacle, written in Swift.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Magnet Window Manager - Magnet Developers
NumPy - NumPy is the fundamental package for scientific computing with Python
Mizage Divvy - Divvy is an entirely new way of managing your workspace.
OpenCV - OpenCV is the world's biggest computer vision library