Alternatives and similar repositories for Evaluation-Metrics-for-Recommendation-Systems

Users that are interested in Evaluation-Metrics-for-Recommendation-Systems are comparing it to the libraries listed below

• mrmaheshrajput / productionizing-llms
  Code Repository for Blog - How to Productionize Large Language Models (LLMs)
  ☆12Updated last year
• ashishpatel26 / MLFlow-End-to-End-Workshop-at-Chandigarh-University
  MLFlow End to End Workshop at Chandigarh University
  ☆11Updated 2 years ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆24Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• ashishpatel26 / MLOps-Engineering-in-Action
  Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson
  ☆20Updated 2 years ago
• CVxTz / llm-serve-tutorial
  ☆20Updated last year
• infocusp / llm_seminar_series
  Material for the series of seminars on Large Language Models
  ☆34Updated last year
• Arslan-Mehmood1 / Machine-learning-pipeline-deployment-using-Docker-and-FastAPI
  This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of tra…
  ☆26Updated 3 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆95Updated 3 years ago
• ashishpatel26 / DataStructure-for-Data-Science
  Datastructure for data science
  ☆23Updated last year
• mrmaheshrajput / recsys-llm-chatbot
  A LLM based chatbot Recommender engine
  ☆27Updated 2 years ago
• srivatsan88 / sector
  ☆18Updated last year
• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆31Updated last year
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆36Updated last month
• wjbmattingly / youtube-florence-table
  Table detection with Florence.
  ☆15Updated last year
• Logisx / AI-Senior
  🤖 AI Assistant fine-tuned to provide support for coding and design questions based on the latest trends in the industry.
  ☆17Updated 2 years ago
• 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
  ☆105Updated 2 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆57Updated 3 years ago
• patrickbrus / Retail_Data_Analytics
  A Machine Learning project for retail data analytics as part of the Machine Learning Engineering Nanodegree Capstone Project from Udacity
  ☆12Updated 5 years ago
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆47Updated last month
• dpleus / mlops
  A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
  ☆96Updated 3 years ago
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆117Updated 7 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• dair-ai / maven-pe-for-llms-4
  Prompt Engineering for Large Language Models - Notebooks, Demos, Exercises, and Projects
  ☆24Updated 2 years ago
• januverma / transformers-for-sequential-recommendation
  Notebooks on using transformers for sequential recommendation tasks
  ☆17Updated 3 years ago
• AI-Maker-Space / Chainlit-Event-AIM
  A Chainlit App Used to Showcase: Async, Caching, Additional Chainlit Methods, and more!
  ☆11Updated last year
• khuyentran1401 / analyze_github_feed
  Create a local dashboard to visualize and filter your GitHub feed
  ☆29Updated 3 years ago
• jjovalle99 / agentic-design-patterns
  ☆14Updated last year
• Vedant-S / MLOps-Project
  Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.
  ☆13Updated 5 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago