Meesho / spark_calibrationLinks
Spark Calibration - A python package for calibrating probabilities predicted by ML model involving large training & test datasets as spark dataframes
☆15Updated last month
Alternatives and similar repositories for spark_calibration
Users that are interested in spark_calibration are comparing it to the libraries listed below
Sorting:
- Deep Learning Projects on TensorFlow and Keras☆20Updated 11 months ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- Library for Multi-objective optimization in Gradient Boosted Trees☆77Updated 9 months ago
- ☆31Updated 5 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆86Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆200Updated last year
- ☆38Updated 3 years ago
- Demo Computer Vision Project☆62Updated 2 years ago
- Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, d…☆17Updated 2 months ago
- MLOps hands-on notes, notebooks and scripts of months of learning☆27Updated 2 years ago
- ☆18Updated 6 months ago
- Machine Learning Engineer interview preparation. Brushing up Data Structures & Algorithms, System Design and SQL☆22Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 4 months ago
- Homework and notes for the DataTalks.Club MLOps Zoomcamp☆10Updated 2 years ago
- This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…☆21Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆87Updated 2 years ago
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Awesome MLOps Course Outline☆34Updated 2 years ago
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…☆49Updated last year
- An implementation of a full two-step recommendation pipeline applied on the Kaggle H&M data☆23Updated 2 years ago
- ☆11Updated last year
- ☆13Updated 4 years ago
- ☆12Updated 3 years ago
- llm_using_petals☆16Updated last year
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- ☆12Updated 3 years ago
- ☆29Updated 2 years ago