Alternatives and similar repositories for toy-ml-pipeline:

Users that are interested in toy-ml-pipeline are comparing it to the libraries listed below

• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆468Updated 2 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆199Updated 10 months ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆406Updated 2 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆118Updated 2 years ago
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆262Updated 2 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆145Updated 11 months ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆180Updated 9 months ago
• jacopotagliabue / recs-at-resonable-scale
  Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
  ☆237Updated 2 years ago
• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆510Updated 8 months ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆399Updated 2 years ago
• xLaszlo / datascience-fails
  Collection of articles listing reasons why data science projects fail.
  ☆463Updated 4 years ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆208Updated 2 years ago
• Machine-Learning-Tokyo / __init__
  ☆137Updated 2 years ago
• bhavsarpratik / data-science-interview-assignments
  Real data science interview assignments
  ☆94Updated 4 years ago
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆195Updated last year
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆83Updated 2 years ago
• robustness-gym / robustness-gym
  Robustness Gym is an evaluation toolkit for machine learning.
  ☆441Updated 2 years ago
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated 11 months ago
• cmawer / reproducible-model
  ☆86Updated 5 years ago
• fuzzylabs / awesome-open-mlops
  The Fuzzy Labs guide to the universe of open source MLOps
  ☆461Updated 8 months ago
• amueller / aml
  Applied Machine Learning with Python
  ☆78Updated last year
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 3 years ago
• michaeltremeer / queensland-ai-fastai-course-resources
  Resources (including recap slides and notebooks) to support the Queensland AI & Queensland AI Hub community fast.ai course.
  ☆33Updated 3 years ago
• rxavier / poniard
  Streamline scikit-learn model comparison.
  ☆145Updated 2 years ago
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆254Updated 6 months ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• neomatrix369 / nlp_profiler
  A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data…
  ☆242Updated 11 months ago
• tensorflow / model-card-toolkit
  A toolkit that streamlines and automates the generation of model cards
  ☆431Updated last year
• bodywork-ml / bodywork-core
  ML pipeline orchestration and model deployments on Kubernetes.
  ☆435Updated last year