great_expectations by great-expectations

Always know what to expect from your data.

updated at May 12, 2024, 6:32 a.m.

Python

82 +0

9,507 +28

1,476 +5

GitHub
pytorch-lightning by PyTorchLightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

updated at May 12, 2024, 1:55 a.m.

Python

246 +0

27,032 +56

3,259 +5

GitHub
label-studio by heartexlabs

Label Studio is a multi-type data labeling and annotation tool with standardized output format

updated at May 12, 2024, 1:09 a.m.

JavaScript

170 -1

16,665 +79

2,058 +13

GitHub
archai by Microsoft

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

updated at May 11, 2024, 6:45 p.m.

Python

27 +0

457 +1

90 +0

GitHub
seldon-core by SeldonIO

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

updated at May 11, 2024, 12:06 p.m.

HTML

83 +0

4,234 +11

821 +0

GitHub
data-validation by tensorflow

Library for exploring and validating machine learning data

updated at May 11, 2024, 3:09 a.m.

Python

48 +0

753 +2

166 +0

GitHub
alibi-detect by SeldonIO

Algorithms for outlier, adversarial and drift detection

updated at May 10, 2024, 5:51 p.m.

Python

37 +0

2,094 +1

213 +0

GitHub
model-card-toolkit by tensorflow

A toolkit that streamlines and automates the generation of model cards

updated at May 8, 2024, 4:46 p.m.

Python

20 +0

402 +1

85 +0

GitHub
robustness_metrics by google-research

None

updated at May 7, 2024, 11:09 p.m.

Jupyter Notebook

11 +0

460 +1

32 +0

GitHub
HParams by PetrochukM

Configure Python functions explicitly and safely

updated at May 6, 2024, 4:57 p.m.

Python

5 +0

125 +1

8 +0

GitHub
LiFT by linkedin

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

updated at May 3, 2024, 9:18 p.m.

Scala

15 +0

167 +0

21 +0

GitHub
Neuraxle by Neuraxio

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

updated at April 23, 2024, 11:17 a.m.

Python

19 +0

597 +0

59 +0

GitHub
revise-tool by princetonvisualai

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999

updated at April 17, 2024, 2:21 a.m.

Jupyter Notebook

8 +0

110 +0

19 +0

GitHub