rapidsai / jupyterlab-nvdashboardLinks
A JupyterLab extension for displaying dashboards of GPU usage.
☆665Updated last week
Alternatives and similar repositories for jupyterlab-nvdashboard
Users that are interested in jupyterlab-nvdashboard are comparing it to the libraries listed below
Sorting:
- Tensorboard extension for jupyterlab.☆314Updated 3 years ago
- RAPIDS Sample Notebooks☆580Updated 2 years ago
- Utilities for Dask and CUDA interactions☆317Updated last week
- JupyterLab extension to display system metrics☆304Updated 2 years ago
- Jupyter Notebook Extension for monitoring your own Resource Usage☆527Updated 3 months ago
- A visual debugger for Jupyter notebooks, consoles, and source files☆554Updated 3 years ago
- GPU accelerated cross filtering with cuDF.☆305Updated this week
- RAPIDS Community Notebooks☆553Updated 9 months ago
- JupyterLab extension for Dask☆325Updated 5 months ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆666Updated 7 months ago
- Spit shine for Jupyter notebooks 🧽✨☆534Updated 2 years ago
- Simple and flexible progress bar for Jupyter Notebook and console☆1,100Updated last year
- Experiment tracking, ML developer tools☆888Updated 6 months ago
- Python SDK for building, training, and deploying ML models☆337Updated 3 years ago
- A JupyterLab extension for displaying cell timings☆399Updated 3 weeks ago
- Kubeflow’s superfood for Data Scientists☆647Updated this week
- Jupyter kernel for the Python programming language☆460Updated 3 weeks ago
- Provide Python access to the NVML library for GPU diagnostics☆250Updated 2 months ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,127Updated last month
- Convert scikit-learn models and pipelines to ONNX☆603Updated 2 weeks ago
- Navigate to variable's definition with a click in JupyterLab (or with a few key strokes)☆228Updated 4 years ago
- 🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.☆319Updated 3 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- Research workflows made easy, locally and in the Cloud.☆500Updated last year
- High performance model preprocessing library on PyTorch☆646Updated last year
- ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …☆436Updated 2 weeks ago
- A JupyterLab plugin to facilitate invocation of code formatters.☆901Updated 6 months ago
- PyTorch elastic training☆728Updated 3 years ago
- Conda environment and package management extension from within Jupyter☆274Updated this week
- Pytorch Lightning Distributed Accelerators using Ray☆215Updated 2 years ago