Alternatives and similar repositories for ml-recipe-book

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

• leehanchung / awesome-full-stack-machine-learning-courses
  Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
  ☆481Updated 3 months ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆88Updated 2 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 3 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆207Updated last year
• duchesnay / pystatsml
  Statistics and Machine Learning in Python
  ☆199Updated 3 months ago
• ansegura7 / NLP
  Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and tech…
  ☆81Updated last year
• regmi-saugat / 66Days_MachineLearning
  I am sharing my journey of 66DaysOfData in Machine Learning
  ☆57Updated 2 years ago
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆132Updated 3 years ago
• Ksyula / ML_Engineering
  Machine Learning Engineering Camp 2022
  ☆39Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆174Updated 3 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• fastai / fastbook2e
  The fastai book, 2nd edition (in progress)
  ☆56Updated last year
• eugenesiow / practical-ml
  Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.
  ☆183Updated 2 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last year
• nlpbook / nlpbook
  Applied Natural Language Processing in the Enterprise - An O'Reilly Media Publication
  ☆202Updated 4 years ago
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆170Updated 2 years ago
• PacktPublishing / Mastering-Transformers
  Mastering Transformers, published by Packt
  ☆352Updated 2 years ago
• ThinamXx / 66Days__NaturalLanguageProcessing
  I am sharing my Journey of 66DaysofData in Natural Language Processing.
  ☆188Updated last year
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆253Updated 11 months ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆204Updated last year
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated last year
• maxmatical / ml-cheatsheet
  ☆43Updated last year
• 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
• kabartay / OpenUnivCourses
  FREE ML Courses from Top Universities in CS
  ☆251Updated last year
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆260Updated last year
• mattharrison / effective_xgboost_book
  ☆286Updated 2 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆139Updated 5 years ago