Alternatives and similar repositories for python-scikitlearn-cheatsheet

Users that are interested in python-scikitlearn-cheatsheet are comparing it to the libraries listed below

• mlip-cmu / book
  Sources for the book "Machine Learning in Production"
  ☆136Updated 3 months ago
• mlops-discord / dmls-bookclub
  ☆77Updated last year
• kuleshov-group / aml-book
  ☆73Updated 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 / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• Nyandwi / deep-computer-vision
  Deep Learning for Computer Vision
  ☆59Updated last year
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆113Updated 5 months ago
• anyscale / multimodal-ai
  Multimodal AI workloads: batch inference, model training and online serving.
  ☆73Updated 2 months ago
• springer-llms-deep-dive / llms-deep-dive-tutorials
  ☆144Updated last year
• mlops-discord / talks
  Slides and recordings of talks hosted by our community
  ☆21Updated last year
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• PacktPublishing / Accelerate-Model-Training-with-PyTorch-2.X
  Accelerate Model Training with PyTorch 2.X, published by Packt
  ☆47Updated 2 months ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆228Updated 3 years ago
• primaprashant / llms-in-production
  📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.
  ☆96Updated last month
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆41Updated last month
• 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
• IMJONEZZ / LLMs-in-Production
  The repo associated with the Manning Publication
  ☆120Updated 7 months ago
• BBischof / ESRecsys
  Effective and Scalable Recommendation Systems
  ☆59Updated last year
• JINO-ROHIT / advanced_ml
  ☆91Updated 2 weeks ago
• 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…
  ☆90Updated last year
• chiphuyen / machine-learning-book
  Code Repository for Machine Learning with PyTorch and Scikit-Learn
  ☆42Updated 3 years ago
• muellerzr / nbdistributed
  Seemless interface of using PyTOrch distributed with Jupyter notebooks
  ☆53Updated last month
• rasbt / RAGs
  RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems
  ☆138Updated 9 months ago
• NielsRogge / awesome-huggingface
  Repository containing awesome resources regarding Hugging Face tooling.
  ☆48Updated last year
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆56Updated 3 years ago
• Atcold / NYU-AISP24
  NYU Artificial Intelligence Spring 2024
  ☆61Updated last year
• aniketmaurya / python-project-template
  A template to kick-start your Python project ✨🚀
  ☆52Updated 3 months ago
• VincentGranville / Main
  Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…
  ☆97Updated last year
• PacktPublishing / Debugging-Machine-Learning-Models-with-Python
  Debugging Machine Learning Models with Python, published by Packt
  ☆61Updated 2 months ago
• alfredodeza / llmops-duke-aipi
  Official curricula for the LLMOPs course at Duke University
  ☆98Updated last year