Alternatives and similar repositories for book

Users that are interested in book are comparing it to the libraries listed below

• mlip-cmu / s2025
  ☆222Updated 3 weeks ago
• mlops-discord / dmls-bookclub
  ☆75Updated last year
• BBischof / ESRecsys
  Effective and Scalable Recommendation Systems
  ☆59Updated last year
• rasbt / pycon2024
  Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
  ☆248Updated last year
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆112Updated 4 months ago
• daddydrac / Deep-Learning-Ultra
  Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for G…
  ☆86Updated 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
• alfredodeza / llmops-duke-aipi
  Official curricula for the LLMOPs course at Duke University
  ☆97Updated last year
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆266Updated last year
• RamiKrispin / vscode-python-uv-template
  A Python Environment Template for VScode with UV
  ☆78Updated 3 weeks ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• springer-llms-deep-dive / llms-deep-dive-tutorials
  ☆144Updated last year
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆49Updated last month
• the-palindrome / mlfz
  An educational machine learning library.
  ☆424Updated 4 months ago
• khuyentran1401 / production-ready-data-science-code
  Transform messy data science notebooks into production-ready code. Examples covering testing, CI/CD, MLOps, and scalable deployment pract…
  ☆73Updated 2 months ago
• RamiKrispin / lang2sql
  A tutorial for setting an SQL code generator with the OpenAI API
  ☆247Updated last year
• VincentGranville / Main
  Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…
  ☆96Updated last year
• evidentlyai / community-examples
  Examples of using Evidently to evaluate, test and monitor ML models.
  ☆40Updated last month
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆77Updated 8 months ago
• DataTalksClub / open-source-llm-zoomcamp
  A free mini-course about Open-Source LLMs
  ☆154Updated 5 months ago
• lakshmanok / generative-ai-design-patterns
  A catalog of design patterns when building generative AI applications
  ☆200Updated last month
• Atcold / NYU-AISP24
  NYU Artificial Intelligence Spring 2024
  ☆60Updated 11 months ago
• mlabonne / linear-programming-course
  Hands-on course about linear programming and mathematical optimization.
  ☆107Updated 2 years ago
• mlops-discord / talks
  Slides and recordings of talks hosted by our community
  ☆20Updated last year
• lmassaron / Machine-Learning-on-Tabular-Data
  Code for the new Manning book on machine learning on tabular datasets
  ☆55Updated 8 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
• divakaivan / mlops-101
  Sample Project for an MLOps 101 course I taught
  ☆46Updated 6 months ago
• santiviquez / ageml
  Study the temporal performance degradation of machine learning models.
  ☆16Updated last year
• chrispiech / probabilityForComputerScientists
  ☆135Updated 10 months ago
• eugeneyan / llm-paper-notes
  Notes from the Latent Space paper club. Follow along or start your own!
  ☆239Updated last year