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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
🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
A supercharged AWS command line interface (CLI).
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Accelerated deep learning R&D
CodeChecker is an analyzer tooling, defect database and viewer extension for static and dynamic analyzer tools.
NixOps is a tool for deploying to NixOS machines in a network or cloud.
Elyra extends JupyterLab with an AI centric approach.
ClipCascade is a lightweight utility that automatically syncs the clipboard across devices, no key press required.
MLBox is a powerful Automated Machine Learning python library.
Upscale an image by a factor of 4, while generating photo-realistic details.
Zentral is a control plane for secure, observable Apple endpoints in enterprises. Configure, observe, and enforce the desired state of every Apple endpoint. Manage that desired state as code through GitOps and Terraform.
Sample applications built using AWS' Amazon Machine Learning.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Maze Applied Reinforcement Learning Framework
Ferry lets you define, run, and deploy big data applications on AWS, OpenStack, and your local machine using Docker
Build and deploy a serverless data pipeline on AWS with no effort.
Converts spoken words into text form.
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
Detect the sentiment captured in short pieces of text
Stream Processing Made Easy
Generate a summarized description of a body of text
One isolated Lima VM per GitHub project — sandboxed Claude Code/Codex, Docker, Node, signed git