yangl0320

docta

A Doctor for your data

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

cifar-10-100n

Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.

risk-slim

simple customizable risk scores in python

umich-eecs445-f16

Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.

mwp_ReFT

Robust-f-divergence-measures

[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"

SimiFeat

actionable-recourse

python tools to check recourse in linear classification

ensemble-time-series

Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) layer and trained using Genetic Algorithms

cores

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)

HOC

gpo

The code of paper "Toward Optimal LLM Alignments Using Two-Player Games".

llm-unlearn-eco

Code for NeurIPS'24 paper Large Language Model Unlearning via Embedding-Corrupted Prompts

fair-classification-with-noisy-labels

Model-Elicitation

[DAI 2023] Official Pytorch implementation of "Auditing for federated learning: A model elicitation approach"