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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 Cloud Native AI Platform
Open Source Marketplace For Developer Tools
A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.
open-appsec is a machine learning security engine that preemptively and automatically prevents threats against Web Application & APIs. This repo include the main code and logic.
Stream Processing and Complex Event Processing Engine
MLBox is a powerful Automated Machine Learning python library.
Declarative Intent Driven Platform Orchestrator for Internal Developer Platform (IDP).
Hopsworks - Data-Intensive AI platform with a Feature Store
A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.
Upscale an image by a factor of 4, while generating photo-realistic details.
R interface for Apache Spark
Sample applications built using AWS' Amazon Machine Learning.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.
Framework and Library for Distributed Online Machine Learning
Domain-Driven Design in a PHP project using Symfony
food image to recipe with deep convolutional neural networks.
RELATE is an Environment for Learning And TEaching
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
Maze Applied Reinforcement Learning Framework
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends