Alternatives and similar repositories for Stat4ML

Users that are interested in Stat4ML are comparing it to the libraries listed below

• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• kwangyy / midterm-project
  ☆12Updated 3 years ago
• hamedonline / ml-workflow
  A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.
  ☆37Updated last year
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆78Updated 2 years ago
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆112Updated 3 years ago
• 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
• Vikram310 / 66Days_MachineLearning
  I am sharing my journey of 66DaysofData in Machine Learning
  ☆35Updated 3 years ago
• lewtun / dslectures
  Course materials for introductory data science
  ☆62Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆60Updated 2 years ago
• solegalli / DataTalks.Club2022
  ☆20Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆247Updated last year
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆48Updated 5 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆160Updated last year
• dmatrix / mlflow-workshop-part-1
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …
  ☆240Updated 4 years ago
• bhavsarpratik / data-science-interview-assignments
  Real data science interview assignments
  ☆93Updated 4 years ago
• ThinamXx / Fastai
  I will implement Fastai in each projects present in this repository.
  ☆63Updated last year
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆71Updated last year
• honghanhh / coursera-practical-data-science-specialization
  Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
  ☆60Updated 3 years ago
• axsaucedo / seldon_experiments
  ☆16Updated 4 years ago
• ThinamXx / Transformers_NLP
  The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformer…
  ☆71Updated last year
• ziritrion / ml-zoomcamp
  ML Zoomcamp fall 2021 homework and stuff
  ☆66Updated 3 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…
  ☆183Updated 3 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago