cloudera / CML_AMP_Continuous_Model_MonitoringLinks
Demonstration of how to perform continuous model monitoring on CML using Model Metrics and Evidently.ai dashboards
☆12Updated 5 months ago
Alternatives and similar repositories for CML_AMP_Continuous_Model_Monitoring
Users that are interested in CML_AMP_Continuous_Model_Monitoring are comparing it to the libraries listed below
Sorting:
- Added functionality to the cml python package☆14Updated 8 months ago
- ☆17Updated this week
- A collection of utilities for writing labeling functions, transformation functions, and slicing functions.☆21Updated 5 years ago
- Documentation and resources for deploying JupyterHub on Hadoop☆18Updated 5 years ago
- Deep Learning how-to's using Lance file format☆18Updated 8 months ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- Python and Scala APIs for enhanced Spark analytics☆12Updated 8 years ago
- ElasticSearch implementation of MlFlow tracking store☆18Updated 4 years ago
- A text-to-SQL prototype on the northwind sqlite dataset☆12Updated 8 months ago
- Retrieval Augmented Generation applications☆26Updated last year
- Simplifying parsing of large jsonline files in NLP Workflows☆12Updated 3 years ago
- This repository implements DSPy programs to tasks in Indian Languages☆13Updated last year
- Neural Solr = Solr 9 + Mighty Inference + Node☆17Updated 2 years ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆18Updated 3 months ago
- Datamallet is a python library which contains several helper functions and module for the common tasks in a typical data science workflow…☆11Updated 3 years ago
- Exploring the classical regression capabilities of LLMs.☆18Updated last year
- Python bindings for Matroid API☆16Updated 4 months ago
- PyCon Talks 2022 by Antoine Toubhans☆23Updated 2 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- How to do data science with Optimus, Spark and Python.☆19Updated 5 years ago
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systems☆10Updated last year
- Operations Research Algorithms☆17Updated last year
- Cortex-compatible model server for Python and TensorFlow☆17Updated 2 years ago
- Machine Learning Inference Graph Spec☆21Updated 5 years ago
- Unstract's interface to LLMs, Embeddings and VectorDBs.☆18Updated 10 months ago
- Spark NLP for Streamlit☆15Updated 3 years ago
- Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…☆18Updated 2 years ago
- Process, visualize and use data easily.☆20Updated last year
- Trace LLM calls (and others) and visualize them in WandB, as interactive SVG or using a streaming local webapp☆14Updated 3 months ago
- 🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow☆17Updated 2 years ago