208 Open source projects that are alternatives of or similar to hello-kubecon

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This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

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Develop production ready deep learning code, deploy it and scale it

INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.

Kubernetes course on Udemy from @BretFisher and @jpetazzo

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

A lab to play with authentication and authorisation problems

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Dev & design apprenticeships to the rescue! 🔧

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

Easily find and view pre-trained AI models and deep learning projects through the command line 💻

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

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Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes

Repository for my tutorial course: Sass Essential Training on LinkedIn Learning and Lynda.com.

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Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Avalanche: a End-to-End Library for Continual Learning.

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Samples associated with Pluralsight design patterns in c# courses.

Workshop content on Learning C# on Linux using .NET Core

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Malware samples, analysis exercises and other interesting resources.

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