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GitHub Personal Website Generator
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Based on our record, Scikit-learn should be more popular than GitHub Personal Website Generator. 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.
The GitHub code editor (immediately accessible by changing the ".com" to ".dev" in your browser URL, in case you didn't know) is miles, leagues ahead of what AWS has to offer. It has a full, working version of vscode.dev, which is pretty much the same as github.dev those days, I hear. It will allow you to install supported extensions, do some code completion, run your testsโ-โand even has a shell! You can't... - Source: dev.to / over 1 year ago
It'll be interesting to see how things evolve over time though โ with https://github.dev/github/dev it seems like Github is trending towards trying to solve similar problems as Vercel or Replit. - Source: Hacker News / over 3 years ago
The browser version of VS Code offered by Github is actually better than Xcode in a lot of ways. Apple should find this situation supremely embarrassing. I'm sure the engineers who work on Xcode know that it's completely fucked, but their higher-ups don't give them the resources needed to actually fix it. Source: over 3 years ago
How is made https://github.dev/github/dev without microsoft loyalities/copyright agreement? thx. Source: almost 4 years ago
Swap .com with .dev in the URL. For example, this repo https://github.com/github/dev becomes http://github.dev/github/dev. Source: almost 4 years 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
vscode.dev - Now when you go to https://vscode.dev, you'll be presented with a lightweight version of VS Code running fully in the browser.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
GitLab Pages - GitLab Pages you can create static websites for your GitLab projects, groups, or user accounts.ย
NumPy - NumPy is the fundamental package for scientific computing with Python
StackBlitz - Online VS Code Editor for Angular and React
OpenCV - OpenCV is the world's biggest computer vision library