Alternatives and similar repositories for example_cml

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

• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆15Updated 5 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 3 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated 2 years ago
• machine-learning-apps / wandb-action
  GitHub Action That Retrieves Model Runs From Weights & Biases
  ☆60Updated 3 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆206Updated 3 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 4 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 6 months ago
• Palashio / nylon
  An intelligent, flexible grammar of machine learning.
  ☆82Updated 4 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 3 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆37Updated 4 years ago
• sicara / dvc-streamlit-example
  Dvc + Streamlit = ❤️
  ☆41Updated 2 years ago
• iterative / cml_cloud_case
  ☆22Updated 3 years ago
• fastai / fastgpu
  A queue service for quickly developing scripts that use all your GPUs efficiently
  ☆88Updated 3 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago