Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Builder.io
Webflow
Anima App
Locofy.ai
Happycapy
Bubble.io
teleportHQ
Carrd
Eliminate long delays, missed deadlines, and rigid CMS templates. Visually build and optimize web and mobile experiences on your existing sites and apps to speed up your build-measure-learn cycles and drive growth, faster.
Scikit-learn Builder.ioBuilder.io's answer:
Builder is driving the next generation of front-end programming, with the only Visual Development Platform that offers an AI-powered design-to-code tool, a visual editor, and an enterprise CMS.
Builder.io's answer:
Our founders, Steve Sewell and Brent Locks, met on the campus of UC Berkeley in 2011, and have been friends and colleagues ever since. In those early days, they bonded over wanting to be entrepreneurs, and having lots of ideas, but not knowing how to code to bring them to life.
Fast forward more than a decade, and Steve is now a visionary technologist (Brent's words) and Brent still doesn't know how to code (beyond some basic HTML and CSS), but they continue to share a passion around building technology that can enable anyone to bring their ideas to life, which is at the core of Builder.io.
Builder.io's answer:
Frontend engineering leads who manage a headless site or store. Frontend and full-stack web developers whose team uses Figma to design web and app experiences
Builder.io's answer:
Shipping, iterating, and optimizing high-performing digital experiences eats up a ton of time. As a result, teams donโt get nearly as many experiences, pages, content, or experiments to market as they planned. Builder helps teams ship twice as much, without doubling their effort or team size. Builder does this by offering tools that optimize every step of the journey from design through optimization. No other tool comes close because they donโt consider the entire journey and havenโt embedded AI at the same level as Builder. As a result of shipping twice as much with the same team size, companies can significantly increase top-line revenue or decrease costs.
Builder.io's answer:
Builder.io might be a bit more popular than Scikit-learn. We know about 44 links to it since March 2021 and only 40 links to Scikit-learn. 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
Still want hand-coded pages? You can always mix your no-code app with custom Next.js/React flows, CMSs like Builder.IO, or plug JSON data into your own front-end. - Source: dev.to / 9 months ago
At Builder.io, we rely on this very inline-script hydration trick to select the winning variant in our SDKs. You can see the production implementation here: inlined-fns.ts. - Source: dev.to / about 1 year ago
Figma plugin search interface showing Builder.io AI-Powered Figma to Code plugin in the Plugins & widgets section. - Source: dev.to / over 1 year ago
If youโre not logged in to Builder.io, youโll be prompted to connect your account first. Otherwise, the plugin will jump straight into its AI-powered code generation. It might take a minute or two to process your design. Thatโs normalโitโs building out the code, setting up file structures, and making sure everything is wired correctly. - Source: dev.to / over 1 year ago
Fun fact: the actual Builder.io codebase for our Figma to code product does literally the same thing. Yes, we have advanced machine learning, malicious content detection, yada yada. - Source: dev.to / over 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Webflow - Build dynamic, responsive websites in your browser. Launch with a click. Or export your squeaky-clean code to host wherever you'd like. Discover the professional website builder made for designers.
NumPy - NumPy is the fundamental package for scientific computing with Python
Anima App - Design, get feedback, convert to code, publish, iterate.
OpenCV - OpenCV is the world's biggest computer vision library
Locofy.ai - Locofy.ai helps builders launch 4-5x faster by converting designs to production ready code.