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
  ☆546Updated this week
• fmind / cookiecutter-mlops-package
  Start building and deploying Python packages and Docker images for MLOps tasks.
  ☆414Updated 4 months ago
• fmind / mlops-python-package
  Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
  ☆1,310Updated this week
• marvelousmlops / mlops-roadmap-2024
  ☆340Updated last year
• Paulescu / hands-on-train-and-deploy-ml
  Train and Deploy an ML REST API to predict crypto prices, in 10 steps
  ☆836Updated last year
• featurestoreorg / serverless-ml-course
  Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
  ☆651Updated 9 months ago
• logicalclocks / hopsworks-tutorials
  Tutorials for the Hopsworks Platform
  ☆295Updated this week
• Paulescu / real-time-data-pipelines-in-python
  Real-time Feature Pipelines in Python ⚡
  ☆277Updated last year
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆816Updated 6 months ago
• 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.
  ☆705Updated this week
• DataTalksClub / project-of-the-week
  Learn by doing: DIY project groups at DataTalks.Club
  ☆408Updated last year
• mlops-guide / mlops-guide.github.io
  🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
  ☆302Updated last year
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆275Updated 5 months ago
• CodeCutTech / data-science-template
  Template for a data science project
  ☆718Updated 2 months ago
• jacopotagliabue / MLSys-NYU-2022
  Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
  ☆492Updated 2 years ago
• callmesora / llmops-python-package
  Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
  ☆876Updated 4 months ago
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆364Updated 2 years ago
• Paulescu / incremental-ml-training-and-serving
  Incremental ML learning in the real-world
  ☆67Updated 4 months ago
• zenml-io / zenml-projects
  A repository for all ZenML projects that are specific production use-cases.
  ☆266Updated 2 weeks 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:
  ☆574Updated 5 months ago
• Paulescu / hands-on-rl
  Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽
  ☆1,107Updated last year
• nogibjj / mlops-template
  mlops template
  ☆287Updated 6 months ago
• serodriguez68 / designing-ml-systems-summary
  A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps requir…
  ☆148Updated 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…
  ☆92Updated last year
• alexeygrigorev / llm-rag-workshop
  Chat with your own data - LLM+RAG workshop
  ☆198Updated 7 months ago
• youssefHosni / Practical-Machine-Learning
  Practical machine learning notebook & articles covers the machine learning end to end life cycle.
  ☆929Updated last year
• manuelgilm / mlflow_for_ml_dev
  Repository with code examples of mlflow
  ☆201Updated 2 weeks ago
• NannyML / The-Little-Book-of-ML-Metrics
  The book every data scientist needs on their desk.
  ☆956Updated 4 months 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…
  ☆183Updated 3 years ago