41 projects
orion-ml
Orion is a machine learning library built for data generated by satellites.
mlblocks
Pipelines and primitives for machine learning and data science.
ctgan
Conditional GAN for Tabular Data
ballet
Core functionality for lightweight, collaborative data science projects
fibber
Fibber is a benchmarking suite for adversarial attacks on text classification.
sdv
Synthetic Data Generation for tabular, relational and time series data.
sdmetrics
Metrics for Synthetic Data Generation Projects
deepecho
Mixed-type multivariate time series modeling with generative adversarial networks.
copulas
A python library for building different types of copulas and using them for sampling.
rdt
Reversible Data Transforms
cardea
Cardea
sdgym
A framework to benchmark the performance of synthetic data generators for non-temporal tabular data
greenguard
AutoML for Renewable Energy Industries.
mlprimitives
Pipelines and primitives for machine learning and data science.
baytune
Bayesian Tuning and Bandits
pyreal
Library for evaluating and deploying machine learning explanations.
sintel
Sintel(Signal Intelligence) provides Restful APIs to processmassive signal data for anomaly analysis in an efficientand user-friendly way
pyteller
Time series forecasting using MLPrimitives
mtv-api
Explanation tool for machine learning
sibyl-api
Explanation tool for machine learning
realpy
Explanation tool for machine learning
onfair
autobazaar
The Machine Learning Bazaar
datatracer
Data Lineage Tracing Library
mlbazaar
metad
A hierarchical representation for the structure of a relational database.
mit-d3m
MIT tools to work with D3M datasets.
mdj
steganogan
Steganography tool based on DeepLearning GANs
data-tracer
d3m-dataset-manager
Command line tool and python package to generate and manage datasets in the D3M format.
abz
atm
Auto Tune Models
piex
Pipeline Explorer
mlpipelines
tgan
Generative adversarial training for synthesizing tabular data
tsdm
ml-water
wind
Wind Project
data-audit
DataAudit
trane
Trane is a software package for automatically generating prediction problems and generating labels for supervised learning.
