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.

Knowledge distillation pytorch lightning template for image classification task

Pytorch lightning template for image segmentation tasks. Dataset was taken from 2018 Data Science Bowl.

GitHub Action For Retrieving Experiments Stats With 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

Traning MNIST by CNN with Pytorch and deploying on ClearML

Training and deploying an image classificaiton model with Gradio.

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

Detectron2 training with ClearML hooks

Efficient video action recognition using hybrid techniques: combining ORB, SIFT, and deep models like VideoMAE and (2+1)D Conv to reduce data size while maintaining performance.