Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Vuo
Processing
Pure Data
TouchDesigner
Vvvv
Nodebox
Cinder
OpenFrameworks
Vuo is a kit for making a million different projects โ apps, videos, prototypes, plugins, exhibits, live performance effects, and more. Even if you don't have programming experience, Vuo lets you build your own stuff for Mac.
Scikit-learn VuoBased on our record, Scikit-learn seems to be a lot more popular than Vuo. While we know about 40 links to Scikit-learn, we've tracked only 2 mentions of Vuo. 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.
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 / about 1 month 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 / about 2 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 / about 2 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 / 2 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 / 4 months ago
Thought I'd share my thoughts of building a native Mac app using a pretty niche tool โ using a nocode tool called Vuo, and in the process, share a little perspective from someone who's used no-code tools for many, many years and seen similar patterns. Source: almost 5 years ago
For those interested, I'm building this using a (mostly) odd no-code tool called Vuo. A Windows version is on the mapโฆsometimeโฆso yes, obviously this is not really for gamers (who are primarily on Windows anyway), but more for those streaming artwork, or doing online teaching etc. Source: almost 5 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Processing - C++ and Java programming at the speed of thought.
NumPy - NumPy is the fundamental package for scientific computing with Python
Pure Data - Pd (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical...
OpenCV - OpenCV is the world's biggest computer vision library
TouchDesigner - TouchDesigner is a visual development platform that equips you with the tools you need to create stunning realtime projects and rich user experiences.