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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).
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
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
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