Alternatives and similar repositories for spark_calibration

Users that are interested in spark_calibration are comparing it to the libraries listed below

• thejat / mlops-code-examples
  ☆24Updated 7 months ago
• sayakpaul / A-B-testing-with-Machine-Learning
  Implemented an A/B Testing solution with the help of machine learning
  ☆50Updated 4 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆202Updated last year
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated 2 years ago
• eherrerosj / mle-tech-interviews
  Machine Learning Engineer interview preparation. Brushing up Data Structures & Algorithms, System Design and SQL
  ☆24Updated 4 years ago
• ThinamXx / ML..Interview..Preparation
  Preparation for Machine Learning Interview
  ☆187Updated last year
• PacktPublishing / Comet-for-Data-Science
  Comet for Data Science, published by Packt
  ☆42Updated this week
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• vinija / AI-Coding
  AI algorithms
  ☆141Updated last year
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated this week
• dipanjanS / adv_nlp_workshop_odsc_europe22
  Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…
  ☆51Updated 2 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆91Updated this week
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated this week
• shrinidhin / recommender-system
  A Recommendation engine for an e-commerce use case that provides recommendations to users based on their purchase history.
  ☆21Updated 4 years ago
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆184Updated 3 years ago
• ashishpatel26 / Awesome-MLOps-Course-Outline
  Awesome MLOps Course Outline
  ☆36Updated 2 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆56Updated 3 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 3 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated this week
• srivatsan88 / Natural-Language-Processing
  This repository host code of my NLP playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP6zMkHMxFJV4yXIsET5aWlc
  ☆46Updated 5 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆88Updated 3 years ago
• SudalaiRajkumar / Talks_Webinars
  Materials used in talks, webinars, meetups etc
  ☆46Updated last year
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆104Updated 2 years ago
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 5 years ago
• aershov24 / machine-learning-ds-interview-questions
  🔴 1704 Machine Learning, Data Science & Python Interview Questions (ANSWERED) To Kill Your Next ML & DS Interview. Get All Answers + PDF…
  ☆114Updated 2 years ago
• erno98 / ID2223
  ☆24Updated 2 years ago
• Meesho / llm_calculator
  ☆13Updated 2 months ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated this week