پروجیکٹ کے اسکرین شاٹس
جائزہ
ClearML is an ML/DL development and production suite designed to track and control the process of training production-grade deep learning models by associating code version control, research projects, performance metrics, and model provenance. The platform consists of three main runtime components: the ClearML Python Package (SDK) for integrating into existing scripts with minimal code, the ClearML Server for storing experiment, model, and workflow data, and the ClearML Agent for MLOps orchestration, reproducibility, and scalability. It emphasizes effortless integration so teams can preserve existing methods while boosting collaboration and visibility.
اہم خصوصیات
- Automagical experiment tracking with 2 lines of code
- MLOps / LLMOps orchestration, automation, and pipelines
- Fully differentiable data management and version control
- Cloud-ready scalable model serving with Nvidia-Triton GPU support
- Orchestration dashboard for compute clusters (Cloud / Kubernetes / On-Prem)
- Fractional GPUs via container-based driver-level memory limitation
- Rich MarkDown reports with embeddable online content
- Out-of-the-box model monitoring
- Seamless Jupyter Notebook and PyCharm remote debugging integration
ضروریات، انسٹالیشن اور فوری آغاز
استعمال
ماڈل کی مطابقت اور استعمال کے مواقع
Supports PyTorch (including Ignite and Lightning), Tensorflow, Keras, AutoKeras, FastAI, XGBoost, LightGBM, MegEngine, and Scikit-Learn. Integrates with Tensorboard/TensorboardX, Matplotlib, Seaborn, Optuna, and Hydra.
لائسنس اور خطرے سے متعلق نوٹس
Apache License, Version 2.0.
Editorial verification 2026-08-09: repository URL, owner, description, license and repository statistics were reviewed. License metadata: Apache-2.0. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.
ریلیز اور دیکھ بھال
Not stated in the repository metadata.