Pinned Repositories
DataProfiler
What's in your data? Extract schema, statistics and entities from datasets
federated-model-aggregation
The Federated Model Aggregation (FMA) Service is a collection of installable python components that make up the generic workflow/infrastructure needed for federated learning.
synthetic-data
Generating complex, nonlinear datasets appropriate for use with deep learning/black box models which 'need' nonlinearity
DataProfiler
What's in your data? Extract schema, statistics and entities from datasets
DatasetCondensation
Dataset Condensation (ICLR21 and ICML21)
federated-model-aggregation
The Federated Model Aggregation (FMA) Service is a collection of installable python components that make up the generic workflow/infrastructure needed for federated learning.
great_expectations
Always know what to expect from your data.
ML_stock_project
synthetic-data
Generating complex, nonlinear datasets appropriate for use with deep learning/black box models which 'need' nonlinearity
xgboost_ray
Distributed XGBoost on Ray
ksneab7's Repositories
ksneab7/DataProfiler
What's in your data? Extract schema, statistics and entities from datasets
ksneab7/DatasetCondensation
Dataset Condensation (ICLR21 and ICML21)
ksneab7/federated-model-aggregation
The Federated Model Aggregation (FMA) Service is a collection of installable python components that make up the generic workflow/infrastructure needed for federated learning.
ksneab7/great_expectations
Always know what to expect from your data.
ksneab7/synthetic-data
Generating complex, nonlinear datasets appropriate for use with deep learning/black box models which 'need' nonlinearity