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Found 8 papers, 1 papers with code
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
We attempt to re-look at the data quality issues in the context of building a machine learning pipeline and build a tool that can detect, explain and remediate issues in the data, and systematically and automatically capture all the changes applied to the data.
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
Aligned with this, we propose a framework GYC, to generate a set of counterfactual text samples, which are crucial for testing these ML systems.
A Visual Programming Paradigm for Abstract Deep Learning Model Development
Deep learning is one of the fastest growing technologies in computer science with a plethora of applications.
Sanskrit Sandhi Splitting using seq2(seq)2
In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi.
Sanskrit Sandhi Splitting using seq2(seq)^2
In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi.
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
To address these challenges, we propose a novel extensible approach, DLPaper2Code, to extract and understand deep learning design flow diagrams and tables available in a research paper and convert them to an abstract computational graph.
mAnI: Movie Amalgamation using Neural Imitation
Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI).
