deepchecks / monitoring
Deepchecks Monitoring- Continuous Validation of ML Models & Data In Production.
β26Updated last month
Alternatives and similar repositories for monitoring:
Users that are interested in monitoring are comparing it to the libraries listed below
- π― OSS version of Deepchecks' monitoring platform, synced from https://github.com/deepchecks/monitoringβ14Updated last month
- Demo on how to use Prefect with Dockerβ25Updated 2 years ago
- Projects developed by Domino's R&D teamβ76Updated 2 years ago
- An abstraction layer for parameter tuningβ36Updated 4 months ago
- β21Updated last year
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to productionβ¦β29Updated last year
- Accompanies the uncool MLOps workshopβ26Updated 2 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.β86Updated 8 months ago
- β29Updated last year
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documenβ¦β18Updated last year
- β12Updated 6 months ago
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systemsβ10Updated last year
- Dvc + Streamlit = β€οΈβ40Updated last year
- PyCon Talks 2022 by Antoine Toubhansβ23Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.β64Updated 11 months ago
- β12Updated 4 years ago
- Prune your sklearn modelsβ19Updated 2 months ago
- Pipeline components that support partial_fit.β44Updated 6 months ago
- real-time data + ML pipelineβ54Updated this week
- βοΈ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.β45Updated 4 months ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profilβ¦β69Updated 8 months ago
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ54Updated 4 months ago
- A library to use `modal` as a backend for `joblib`.β22Updated this week
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.β58Updated 3 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fastβ16Updated 3 years ago
- Implementation of Covariate Searchβ15Updated this week
- Instant search for and access to many datasets in Pyspark.β34Updated 2 years ago
- Workshop about DVC VSCode Extensionβ14Updated 3 months ago
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and β¦β37Updated 2 years ago
- PyRapidML is an open source Python library which not only helps in automating Machine Learning Workflows but also helps in building end tβ¦β14Updated 3 years ago