deepchecks / monitoring-ossLinks
💯 OSS version of Deepchecks' monitoring platform, synced from https://github.com/deepchecks/monitoring
☆15Updated 3 weeks ago
Alternatives and similar repositories for monitoring-oss
Users that are interested in monitoring-oss are comparing it to the libraries listed below
Sorting:
- Deepchecks Monitoring- Continuous Validation of ML Models & Data In Production.☆26Updated 2 weeks ago
- PyCon Talks 2022 by Antoine Toubhans☆23Updated 2 years ago
- Projects developed by Domino's R&D team☆76Updated 3 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- A repository that showcases how you can use ZenML with Git☆69Updated last month
- Source code and generator scripts for example DVC projects☆20Updated last year
- Dvc + Streamlit = ❤️☆40Updated last year
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- real-time data + ML pipeline☆54Updated this week
- ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.☆45Updated 3 months ago
- Examples to showcase the use of Kale in data science pipelines☆27Updated 2 years ago
- Machine Learning with TensorFlow Extended (TFX) Pipelines☆13Updated last year
- ☆27Updated 2 years ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- An abstraction layer for parameter tuning☆35Updated 9 months ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- Machine learning utilities for model conversion, serialization, loading etc☆27Updated 2 years ago
- SciKIt-learn Pipeline in PAndas☆42Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Comparison of automatic machine learning libraries☆27Updated 7 years ago
- Process, visualize and use data easily.☆20Updated last year
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆81Updated 3 years ago
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- Simple script to re-rank images using OpenAI's CLIP https://github.com/openai/CLIP.☆16Updated 4 years ago
- Open Source Model Risk Management☆22Updated 3 years ago
- Automated Jupyter notebook testing. 📙☆41Updated last year
- Dashboard for Data Drift Detection in Python with Evidently and Mercury☆14Updated 3 years ago
- Python ML pipeline that showcases mltrace functionality.☆28Updated 3 years ago