Papers about training data quality management for ML models.
☆109Oct 15, 2025Updated 4 months ago
Alternatives and similar repositories for awesome-ml-data-quality-papers
Users that are interested in awesome-ml-data-quality-papers are comparing it to the libraries listed below
Sorting:
- This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (…☆14Oct 26, 2023Updated 2 years ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆79Oct 3, 2024Updated last year
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆138Feb 20, 2025Updated last year
- Useful resources on data quality for machine learning and artificial intelligence.☆22Feb 1, 2026Updated last month
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR …☆22Aug 20, 2024Updated last year
- A Survey on Data Selection for Language Models☆254Apr 29, 2025Updated 10 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆79Nov 14, 2024Updated last year
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆52Jun 5, 2024Updated last year
- [CVPR 2025] An Implementation of the paper "Pre-Instruction Data Selection for Visual Instruction Tuning"☆17Jun 9, 2025Updated 9 months ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆87Feb 27, 2024Updated 2 years ago
- Scalable data valuation using optimal transport (ICLR 2025)☆13Jul 15, 2025Updated 7 months ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆58Apr 24, 2023Updated 2 years ago
- Papers for AI + quantitative investment☆137Sep 12, 2024Updated last year
- Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific a…☆17Dec 25, 2024Updated last year
- This repository contains a list of papers on spatio-temporal graph, especially about GNNs on S-T graph.☆17Sep 8, 2023Updated 2 years ago
- ☆44Oct 13, 2023Updated 2 years ago
- Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…☆13Aug 8, 2025Updated 7 months ago
- Implementation of Gradient Information Optimization (GIO) for effective and scalable training data selection☆14Jun 22, 2023Updated 2 years ago
- ☆17Mar 23, 2025Updated 11 months ago
- Multi-GPU supported kmeans clustering for cluser-clip☆15Jun 3, 2024Updated last year
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆113Dec 25, 2024Updated last year
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Dec 27, 2022Updated 3 years ago
- Prioritize Alignment in Dataset Distillation☆21Dec 3, 2024Updated last year
- AI Logging for Interpretability and Explainability🔬☆140Jun 7, 2024Updated last year
- code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models☆51Nov 17, 2024Updated last year
- ☆25Jan 1, 2025Updated last year
- ☆51Jan 24, 2024Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆100Feb 4, 2025Updated last year
- PostgreSQL extension for supporting deep learning model inference within the database and vector storage☆61Sep 29, 2025Updated 5 months ago
- Official repo for the paper "Bilinear MLPs enable weight-based mechanistic interpretability".☆28Aug 2, 2025Updated 7 months ago
- Organize the Web: Constructing Domains Enhances Pre-Training Data Curation☆78May 2, 2025Updated 10 months ago
- 🔥 How to efficiently and effectively compress the CoTs or directly generate concise CoTs during inference while maintaining the reasonin…☆64May 22, 2025Updated 9 months ago
- K-Quant: A Platform of Temporal Financial Knowledge-enhanced Quantitative Investment☆79Dec 6, 2025Updated 3 months ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆64Jun 13, 2024Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆181Jun 30, 2024Updated last year
- Advanced Machine Learning Course☆13Nov 16, 2024Updated last year
- Official implementation of "Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting" (KDD'25), a novel online…☆55Dec 25, 2025Updated 2 months ago
- ☆39May 2, 2024Updated last year
- Trading algorithm for Bitcoins in USD on quantconnect.com☆13Jan 12, 2018Updated 8 years ago