manuelgilm / mlflow_for_ml_dev

Related projects ⓘ

Alternatives and complementary repositories for mlflow_for_ml_dev

• javieryanzon / bike_sharing_demand_predictor
  Project bike sharing predictor
  ☆54Updated last month
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆125Updated last year
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆93Updated last year
• prsdm / mlops-project
  ☆73Updated this week
• RamiKrispin / ai-dev-2024-ml-workshop
  Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
  ☆91Updated this week
• PacktPublishing / Developing-Kaggle-Notebooks
  ☆110Updated 8 months ago
• Paulescu / bytewax-hopsworks-example
  Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
  ☆137Updated last year
• karan842 / mlops-best-practices
  Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
  ☆60Updated last year
• TripathiAshutosh / mlflow
  MLflow related work
  ☆39Updated last year
• solegalli / machine-learning-interpretability
  ☆21Updated last month
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆261Updated 6 months ago
• Paulescu / real-time-data-pipelines-in-python
  Real-time Feature Pipelines in Python ⚡
  ☆245Updated 8 months ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆82Updated last year
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆165Updated 2 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆57Updated 2 years ago
• nindate / ml-zoomcamp-exercises
  Exercises performed as part of the ML Zoomcamp course
  ☆30Updated 2 years ago
• evidentlyai / ml_observability_course
  Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…
  ☆70Updated 11 months ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆171Updated last year
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆111Updated last month
• soumik12345 / mlops-zoomcamp-wandb
  ☆31Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-Python-Second-Edition
  ☆192Updated 3 months ago
• ziritrion / ml-zoomcamp
  ML Zoomcamp fall 2021 homework and stuff
  ☆60Updated 2 years ago
• Paulescu / incremental-ml-training-and-serving
  Incremental ML learning in the real-world
  ☆59Updated 3 months ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆68Updated last year
• honghanhh / coursera-practical-data-science-specialization
  Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
  ☆59Updated 3 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆159Updated 11 months ago
• logicalclocks / hopsworks-tutorials
  Tutorials for the Hopsworks Platform
  ☆251Updated 3 weeks ago
• alexeygrigorev / fitness-assistant
  This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp
  ☆51Updated 2 months ago
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆177Updated last year
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated 11 months ago