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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
The official source for MDN Web Docs content. Home to over 14,000 pages of documentation about HTML, CSS, JS, HTTP, Web APIs, and more.
Open Source Marketplace For Developer Tools
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Gaining advanced insights from Git repository history.
:computer: :mortar_board: Learn Git and GitHub. Try the new desktop version →
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Computational framework for reinforcement learning in traffic control
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
R interface for Apache Spark
Open-source self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
👨💻Watch the latest and greatest conference videos on your Mac
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Learn PureScript with this "clone and play" repository
GitHub repository for official ILIAS release branches and development branches (trunk)
AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more)
Walk through a diff the way a senior engineer reads it. A read-only TUI that turns a git change into a guided tour.
Maze Applied Reinforcement Learning Framework
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
Codebase for the Super Rentals official tutorial. Generated by https://github.com/ember-learn/super-rentals-tutorial/. Changes must be made there.
Go(lang) benchmarks - (measure the speed of golang)
Learn to use https://github.com/caolan/async in this self guided workshop