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vscode.dev Scikit-learnBased on our record, vscode.dev should be more popular than Scikit-learn. It has been mentiond 278 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.
Lightweight: Designed for speed, it works everywhereโincluding vscode.devโwithout the bloat. - Source: dev.to / about 1 month ago
It's VSCode, so it's 90% similar to https://vscode.dev. - Source: Hacker News / about 2 months ago
It is basically VS Code Web. Try https://vscode.dev/ to see how you feel. If you don't like it you won't like cider. - Source: Hacker News / about 2 months ago
GitHub Codespaces provides 60 hours of free compute time every month, which is more than enough for scoped home assignments or interviews. Itโs a full VSCode in the browser at github.dev or vscode.dev. - Source: dev.to / 7 months ago
In VSCode extensions this is trivial, this is how you create the 'executable': https://github.com/floooh/vscode-kcide/blob/main/src/wasi.ts ...and this is how you run it: https://github.com/floooh/vscode-kcide/blob/2dfc621aade4a2be06b6a0e703bebb244f5e414c/src/assembler.ts#L33-L40 The asmx.wasm file is a vanilla POSIX cmdline tool (https://github.com/floooh/easmx) which loads and saves files, and the tool has been... - Source: Hacker News / 8 months 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 / 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 / 3 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
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
NumPy - NumPy is the fundamental package for scientific computing with Python
VS Code - Build and debug modern web and cloud applications, by Microsoft
OpenCV - OpenCV is the world's biggest computer vision library
