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ClearML - Model-Serving Orchestration and Repository Solution
Helm chart repository for the new unified way to deploy ClearML on Kubernetes. ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
ClearML PyCharm Plugin
ClearML Remote - CLI for launching JupyterLab / VSCode on a remote machine
GitOps state of MLOps Kubernetes cluster
The PyTorch framework developed to enable my MSci thesis project titled: "Evaluating Uncertainty Estimation Methods For Deep Neural Network’s In Inverse Reinforcement Learning"
GitHub Action For Retrieving Experiments Stats With ClearML
Pytorch lightning template for image segmentation tasks. Dataset was taken from 2018 Data Science Bowl.
Knowledge distillation pytorch lightning template for image classification task
The library reproduces the reproduction of neural networks on the Darknet framework in ClearML.
This repository contains the example of ClearML usage.
Experiment tracking tools example
GitHub Action For Running Experiments With ClearML
Pytorch lightning template for metric learning tasks. Dataset used: Stanford Online Data Products
Training and deploying an image classificaiton model with Gradio.
Skeletons for common deep learning projects.
Training and deploying an image classification model with streamlit.
Learning data and model versioning with ClearML while cleaning and modeling happiness by country with a Kaggle dataset
Machine learning pipelines built on top of Allegro ClearML
Traning MNIST by CNN with Pytorch and deploying on ClearML
There is my Personal Development Plan implementation
Solutions for Deep Neural Networks course at University of Warsaw.
Experiment and showcase custom and pre-built generative models. Boto3 & ClearML SDK integrations
Шаблон cookiecutter для обучения моделей с помощью Torch Lightning, ClearML и DVC