Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Nuklear
Dear ImGui
JUCE
Based UI
Get Shit Done
Bootstrap Magic
UI/UX Assets
iOS Design Kit
Scikit-learn NuklearBased on our record, Scikit-learn should be more popular than Nuklear. It has been mentiond 40 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.
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
You might want to try Nuklear https://github.com/vurtun/nuklear or imgui https://github.com/ocornut/imgui , both to my knowledge have a Vulkan backend. Source: almost 4 years ago
In fact, if using a modern graphics pipeline with shaders, you will actually have to learn how to draw a single rectangle to your screen, and then use that knowledge to draw (anti-aliased) lines, rectangles, arcs, circles, ellipses, etc. too. For instance, have a look at https://www.cairographics.org/ https://github.com/vurtun/nuklear https://github.com/memononen/nanovg and https://github.com/nical/lyon. There are... Source: over 4 years ago
Another option that's pure c and a great library is nuklear https://github.com/vurtun/nuklear. Source: over 4 years ago
If you need the GUI system, then you will be binding against Java and it will be very time consuming. You might be better off looking at some of the young wxWidgets / Qt Android ports. Or simply using a light OpenGL based UI library like Nuklear (or newer). Source: about 5 years ago
P.S.: I know Nuklear has got a node editor, but this editor is only in an early stage of development and Nuklear development has pretty much halted since Vurtun left. Source: about 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.
Dear ImGui - Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
NumPy - NumPy is the fundamental package for scientific computing with Python
JUCE - JUCE is a wide-ranging C++ class library for building rich cross-platform applications and plugins...
OpenCV - OpenCV is the world's biggest computer vision library
Based UI - Sketch UI kit for feeds on iOS, Android and web
