Alternatives and similar repositories for creating-and-correcting-novel-ml-model-errors:

Users that are interested in creating-and-correcting-novel-ml-model-errors are comparing it to the libraries listed below

• decile-team / spear
  SPEAR: Programmatically label and build training data quickly.
  ☆106Updated 9 months ago
• facebookarchive / fronni
  machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast
  ☆16Updated 3 years ago
• ml-tue / automated-string-cleaning
  Repository for my master thesis on automated string handling
  ☆16Updated 3 years ago
• jacopotagliabue / dag-card-is-the-new-model-card
  Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.
  ☆30Updated 3 years ago
• Yard1 / ray-skorch
  Distributed skorch on Ray Train
  ☆57Updated 2 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 8 months ago
• h2oai / wave-ml
  Automatic Machine Learning (AutoML) for Wave Apps
  ☆32Updated last year
• fastai / docments
  Document parameters using comments
  ☆10Updated 3 years ago
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆44Updated 5 years ago
• ShopRunner / octopod
  Train multi-task image, text, or ensemble (image + text) models
  ☆45Updated last year
• yeounoh / slicefinder
  automatic data slicing
  ☆34Updated 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 2 years ago
• modzy / model-deployment-checklist
  An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.
  ☆30Updated 2 years ago
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆31Updated 4 years ago
• fidelity / stoke
  A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…
  ☆67Updated last year
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 4 years ago
• samarth-agrawal-86 / fast_ml
  ☆20Updated last year
• FINRAOS / model-validation-toolkit
  Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…
  ☆29Updated last year
• khuyentran1401 / pretty-print-confusion-matrix
  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
  ☆19Updated 3 years ago
• koaning / sentimany
  Just another sentiment wrapper.
  ☆17Updated 3 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• AnotherSamWilson / fastshap
  Batch shap calculations.
  ☆30Updated 2 years ago
• LukeWood / keras-genetic
  ☆18Updated 3 years ago
• rasbt / pytorch-fabric-demo
  ☆25Updated 2 years ago
• YilunZhou / ExSum
  Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"
  ☆64Updated 2 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• arampacha / reformer_fastai
  Fastai community entry to 2020 Reproducibility Challenge
  ☆18Updated 2 years ago
• philschmid / optimum-static-quantization
  ☆28Updated last year