Alternatives and similar repositories for data-centric-ai

Users that are interested in data-centric-ai are comparing it to the libraries listed below

• decile-team / cords
  Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…
  ☆345Updated 2 years ago
• salesforce / OmniXAI
  OmniXAI: A Library for eXplainable AI
  ☆963Updated last year
• Renumics / awesome-open-data-centric-ai
  Curated list of open source tooling for data-centric AI on unstructured data.
  ☆734Updated 2 years ago
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆471Updated 3 years ago
• baal-org / baal
  Bayesian active learning library for research and industrial usecases.
  ☆919Updated 2 months ago
• Data-Centric-AI-Community / awesome-data-centric-ai
  Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖
  ☆346Updated 2 years ago
• rmunro / pytorch_active_learning
  PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
  ☆984Updated 3 years ago
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆990Updated last week
• jacopotagliabue / you-dont-need-a-bigger-boat
  An end-to-end implementation of intent prediction with Metaflow and other cool tools
  ☆874Updated 2 years ago
• daochenzha / data-centric-AI
  A curated, but incomplete, list of data-centric AI resources.
  ☆1,139Updated last year
• qdrant / awesome-metric-learning
  😎 A curated list of awesome practical Metric Learning and its applications
  ☆518Updated 2 years ago
• google-research / robustness_metrics
  ☆472Updated this week
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,171Updated 6 months ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆591Updated 2 years ago
• CalculatedContent / WeightWatcher
  The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
  ☆1,711Updated last month
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆332Updated 2 years ago
• parrt / tensor-sensor
  The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…
  ☆812Updated 3 years ago
• RecList / reclist
  Behavioral "black-box" testing for recommender systems
  ☆468Updated 2 years ago
• cdpierse / transformers-interpret
  Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
  ☆1,406Updated 2 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆417Updated 3 years ago
• tensorflow / model-card-toolkit
  A toolkit that streamlines and automates the generation of model cards
  ☆441Updated 2 years ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,606Updated 3 months ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆324Updated 3 years ago
• replicate / keepsake
  Version control for machine learning
  ☆1,671Updated 11 months ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆408Updated 3 years ago
• EFS-OpenSource / calibration-framework
  The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …
  ☆372Updated 3 weeks ago
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,481Updated last month
• tensorflow / tcav
  Code for the TCAV ML interpretability project
  ☆650Updated 7 months ago
• fuzzylabs / awesome-open-mlops
  The Fuzzy Labs guide to the universe of open source MLOps
  ☆476Updated 8 months ago
• decile-team / distil
  DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
  ☆155Updated 3 years ago