Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
- linkedin
- quiz-questions
- answers
- assessment
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Gaining advanced insights from Git repository history.
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
DFA regular expression library & friends
- fsm
- regex
- lexer-generator
- regexp
Fast manager for Go-installed binaries in $GOBIN: update, export/import, and migrate toolsets across machines
A project-local library installer for Common Lisp
Language-agnostic pretty-printing through machine learning (uh, like, is this possible? YES, apparently).
👷Build Swift Projects on a Remote Machine within Xcode.
Generate API documentation with quarto
A tool for quantitative risk analysis of Android applications based on machine learning techniques
- android
- risk
- android-permissions
- quantitative-risk-analysis
Save up to 30% of your AI coding tokens. Scubiee turns any codebase into searchable context for your AI coding agent. A local context engine for Cursor, Claude Code, Copilot, Codex, and more: semantic search, code relationships, live sync, MCP integration, and code that never leaves your machine.
Code review for your own machines and your own agents. Reviews live where the code does — reached over SSH, WSL or your own tailnet. Desktop app or just a browser tab. No server, no account.
Run your AppVeyor builds, locally
Ecto adapter for GitHub API
Don't install Node, Go, ... locally - use containers you define within your project. If you have a new machine / other contributors you just have to install docker and envcli to get started.
A sensible Common Lisp linter that catches real mistakes, not style
Superior Common Lisp `trace` functionality for debugging/profiling real world applications.
Official website of Giada Loop Machine. Powered by NodeJS, SASS, Pug and other beautiful JavaScript machineries.
A Single Library Parser to extract meta information,static analysis and detect macros within the files.
Intelligent web page comparison tool with Wayback Machine support and visual regression testing
Debug Adapter Protocol Debugger for the Algorand Virtual Machine