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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
Declarative Intent Driven Platform Orchestrator for Internal Developer Platform (IDP).
RELATE is an Environment for Learning And TEaching
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
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Face detection using deep learning.
A community AWS SDK for Perl Programmers
⚡ Open-source software for deep learning-based digital pathology
Build and deploy a serverless data pipeline on AWS with no effort.
Serverless ML Framework
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
Testavior is a lightweight solution to help you develop Behavior Tests for ASP.NET Core
Generate a summarized description of a body of text
🗺️ Developer Roadmaps — 20 career paths, 870+ topics, 1,880+ free resources. PWA, certifications, community-driven. Your free guide from beginner to senior dev.
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3