Repository for the Data-Centric AI Competition

Codes for a Top 5% finish in the Data-Centric AI Competition organized by Andrew Ng and DeepLearning.AI

Customer churn train/prediction library with automatic dataset size optimisation features.

A curated list of awesome open source tools and commercial products to catalog, version, and manage data 🚀

An Empirical Study of Memorization in NLP (ACL 2022)

Find illustrations in historic book using computer vision

📕 flyswot book on developing a pragmatic machine learning workflow in a library setting

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets

Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)

Denoise data

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data (NeurIPS 2022)

Cleanlab and MachineHack Organised Data-Centric AI Competition 2023. This is One of Solution I tried and achieved 13th rank.

Implementation of data typology for imbalanced datasets.

[ECCV 2022] Official Implementation for Unsupervised Selective Labeling for More Effective Semi-Supervised Learning

The implementation for our paper, "Improving Simultaneous Machine Translation with Monolingual Data," accepted to AAAI 2023. 🎉

Input-Agnostic Face Detection

Quickly set up an image labelling web application for manually tagging images for machine learning tasks.

AQuA: A Benchmarking Tool for Label Quality Assessment