Alternatives and similar repositories for lectures2021:

Users that are interested in lectures2021 are comparing it to the libraries listed below

• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 3 years ago
• kwangyy / midterm-project
  ☆12Updated 2 years ago
• theomitsa / python
  ☆7Updated 5 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 2 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆87Updated last year
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆67Updated last year
• AlexWarembourg / Medium
  Repository for medium article
  ☆22Updated 10 months ago
• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated last year
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆76Updated 7 months ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• MathiasGruber / ProofOfConcept_MLOps
  Example MLOps using BentoML & mlFlow
  ☆37Updated 3 years ago
• srivatsan88 / google_cloud_notebooks
  ☆13Updated 3 years ago
• atreadw1492 / software_engineering_for_data_scientists
  ☆10Updated last year
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆53Updated 5 months ago
• dvaughan79 / data-science-hard-parts-code
  This is the code repo for the O'Reilly book "Data Science: The Hard Parts"
  ☆10Updated 5 months ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 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
  ☆97Updated last year
• jeantardelli / data-engineering-with-python
  Here I will be exploring various tools and methods that are used in data engineering process with Python.
  ☆22Updated 3 years ago
• khuyentran1401 / dog_classifier
  A simple app to classify dogs using fastai and streamlit.
  ☆17Updated 3 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated last year
• aromain / intermarche_challenge
  [Intemarché] Sales forecasting challenge
  ☆11Updated 3 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated 11 months ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 2 years ago
• khuyentran1401 / employee-future-prediction
  Demo for Using GitHub Actions in MLOps
  ☆40Updated 2 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆51Updated 3 years ago
• jankrepl / creating-animations-with-MCMC
  ☆10Updated 6 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆120Updated 6 months ago