Vue Reviews

1. Alan

   · CEO at Self employeed · almost 4 years ago
   VUE A-Z

   I became a VUE artist, when VUE 5 was released, and eventually went up the ladder to V.15 Complete. And , where I got tired of waiting hours, to create that "Perfect picture." And , why VUE failed miserably as an animation tool. VUE, for all it's improvements and changes, was basically stuck in the 90's, and still using the archaic frame building architecture found in WINDOWS . AVI. . IF , I wanted to animate anything, IT was going to be limited, and a VERY slow process. I.E. A two minute Ocean Sim, would take days to render, and the output, at best. COOL. but, with the brutally long, render times; IT basically became an expensive, worthless tool.

   Would I still recommend this for beginners? - YES, for the simple reason, it introduces them 3-D modeling, and scene development. IT'S also a good tool for matte artists, because creating a simple PHOTO REAL background ,takes very little time.

   OVER the years, though, I found the software, was real flakey, and prone to crashing. SO, in the end, I simply got tired of the nonsense, and moved on. I USE UNREAL 5 now, and it's a totally different world. I can create, and a fully animated scene, in a matter of minutes... and in full 3D , and with pre-animated objects. IT was game changer.

   SO, final words? I would give VUE a plug , for ease of use, and stunning photo real output, but, would not be my choice for an animation solution. Just, by it's design.

   I simply had too many bad experiences with the software. I hope the company focuses more on system stability, instead of adding MORE tweaks. MY assessment of V6.I , was very mixed. IT crashed constantly, yet, eventually was stable enough to use. V.9 , compete was an amazing program, and that's where E-ON got it right. Where they got it wrong, was the product was NOT affordable for the average user, and was also a factor; in me dropping the platform.

   🏁 Competitors: Unreal Engine

   👍 Pros:    Easy to use

Scikit-learn Reviews

Vue mentions (1)

• More of my AMIGA coverdisks magazines

  It says right there: "Play God with the ultimate landscape generator" and that's what it did. You generate a random terrain, mould it to how you want it, set the levels of trees, water, grass, type of sky etc, set the camera position, and then it would render it for you. These days there are many more options: Terragen, Vue, World Machine, World Creator, Instant Terra, Bryce. Source: about 5 years ago

Scikit-learn mentions (40)

• Detecting Ingress Tool Transfer (T1105) with Python

  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 2 months ago

• Best AI Cybersecurity Training for Security Teams: How to Pick

  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 / 2 months ago

• Where to Get Hands-On AI Training for Cybersecurity Professionals

  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

• How Anomaly Detection Actually Works in Security Operations

  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 / 3 months ago

• Building a Personalized Meal Recommendation System

  In practice, you’ll 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 / 5 months ago