Alternatives and similar repositories for energy-forecasting

Users that are interested in energy-forecasting are comparing it to the libraries listed below

• MLOps-Courses / mlops-coding-course
  Learn how to create, develop, and maintain a state-of-the-art MLOps code base
  ☆631Updated last week
• marvelousmlops / mlops-roadmap-2024
  ☆370Updated 2 years ago
• fmind / cookiecutter-mlops-package
  Start building and deploying Python packages and Docker images for MLOps tasks.
  ☆429Updated last week
• Paulescu / hands-on-train-and-deploy-ml
  Train and Deploy an ML REST API to predict crypto prices, in 10 steps
  ☆875Updated last year
• fmind / mlops-python-package
  Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
  ☆1,389Updated last week
• featurestoreorg / serverless-ml-course
  Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
  ☆685Updated last year
• logicalclocks / hopsworks-tutorials
  Tutorials for the Hopsworks Platform
  ☆314Updated last month
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆925Updated last year
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆135Updated 2 years ago
• SkafteNicki / dtu_mlops
  Exercises and supplementary material for the machine learning operations course at DTU.
  ☆773Updated last week
• jacopotagliabue / MLSys-NYU-2022
  Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
  ☆544Updated 3 years ago
• Paulescu / real-time-data-pipelines-in-python
  Real-time Feature Pipelines in Python ⚡
  ☆283Updated last year
• DataTalksClub / project-of-the-week
  Learn by doing: DIY project groups at DataTalks.Club
  ☆415Updated last year
• CodeCutTech / data-science-template
  Template for a data science project
  ☆775Updated 5 months ago
• nogibjj / mlops-template
  mlops template
  ☆326Updated last year
• alexeygrigorev / llm-rag-workshop
  Chat with your own data - LLM+RAG workshop
  ☆205Updated last year
• Paulescu / incremental-ml-training-and-serving
  Incremental ML learning in the real-world
  ☆70Updated 10 months ago
• callmesora / llmops-python-package
  Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
  ☆889Updated 11 months ago
• zenml-io / zenml-projects
  A repository for all ZenML projects that are specific production use-cases.
  ☆302Updated last month
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆391Updated 2 years ago
• mlops-guide / mlops-guide.github.io
  🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
  ☆320Updated last year
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last month
• 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…
  ☆98Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆493Updated 2 years ago
• manuelgilm / mlflow_for_ml_dev
  Repository with code examples of mlflow
  ☆232Updated 5 months ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆116Updated 2 years ago
• youssefHosni / Efficient-Python-for-Data-Scientists-Book
  Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:
  ☆581Updated last year
• 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
• karan842 / mlops-best-practices
  Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
  ☆77Updated 2 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