Alternatives and similar repositories for fight_fraud_with_machine_learning

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

• aniket-mish / distributed-ml-system
  a distributed end-to-end image classification system using kubernetes
  ☆12Updated 6 months ago
• lmassaron / Machine-Learning-on-Tabular-Data
  Code for the new Manning book on machine learning on tabular datasets
  ☆43Updated 5 months ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 6 months ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• dvaughan79 / data-science-hard-parts-code
  This is the code repo for the O'Reilly book "Data Science: The Hard Parts"
  ☆15Updated last year
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last year
• IMJONEZZ / LLMs-in-Production
  The repo associated with the Manning Publication
  ☆91Updated 4 months ago
• datamllab / automl-in-action-notebooks
  Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
  ☆96Updated 2 years ago
• FranzDiebold / docker-datascience-ultimate
  Customized Jupyter Spark Docker images with everything you need
  ☆16Updated 2 months ago
• aryan-jadon / Evaluation-Metrics-for-Recommendation-Systems
  This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…
  ☆20Updated 4 months ago
• PacktPublishing / Automated-Machine-Learning-on-AWS
  Automated Machine Learning on AWS, published by Packt
  ☆45Updated last year
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆33Updated 3 weeks ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated 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
  ☆103Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆87Updated 2 years ago
• PacktPublishing / Artificial-Intelligence-with-Python-Cookbook
  Artificial Intelligence with Python Cookbook, published by Packt
  ☆75Updated 2 years ago
• Meesho / spark_calibration
  Spark Calibration - A python package for calibrating probabilities predicted by ML model involving large training & test datasets as spar…
  ☆17Updated 2 months ago
• PacktPublishing / Streamlit-Cookbook
  Streamlit Cookbook, published by Packt
  ☆14Updated last month
• SAP-samples / portal
  Implementation of the deep learning models with training and evaluation pipelines described in the paper "PORTAL: Scalable Tabular Founda…
  ☆12Updated 2 months ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆47Updated last year
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆56Updated 2 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 6 months ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• dpleus / mlops
  A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
  ☆87Updated 2 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆107Updated 2 years ago
• Apress / deploy-ml-models-production
  Source Code for 'Deploy Machine Learning Models to Production' by Pramod Singh
  ☆21Updated 4 years ago
• astrojuanlu / workshop-from-zero-to-mlops
  Workshop "From zero to MLOps: An open source stack to fight spaghetti ML"
  ☆25Updated last year
• awesome-mlops / awesome-ml-monitoring
  A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…
  ☆81Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• orca3 / MiniAutoML
  Source code for "Enginneering Deep Learning Platforms"
  ☆52Updated 2 months ago