ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

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"

The library reproduces the reproduction of neural networks on the Darknet framework in 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

GitHub Action For Retrieving Experiments Stats With ClearML

GitHub Action For Running Experiments With ClearML

This repository contains the example of ClearML usage.

Experiment tracking tools example

Pytorch lightning template for metric learning tasks. Dataset used: Stanford Online Data Products

Learning data and model versioning with ClearML while cleaning and modeling happiness by country with a Kaggle dataset

Detectron2 training with ClearML hooks

Training and deploying an image classificaiton model with Gradio.

Training and deploying an image classification model with streamlit.

Skeletons for common deep learning projects.