yangl0320's Stars
Docta-ai/docta
A Doctor for your data
hanjuku-kaso/awesome-offline-rl
An index of algorithms for offline reinforcement learning (offline-rl)
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
UCSC-REAL/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/.
ustunb/risk-slim
simple customizable risk scores in python
eecs445-f16/umich-eecs445-f16
Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.
weijiaheng/Robust-f-divergence-measures
[ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"
UCSC-REAL/SimiFeat
ustunb/actionable-recourse
python tools to check recourse in linear classification
lqtrung1998/mwp_ReFT
haochenglouis/cores
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
carloschavez9/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
UCSC-REAL/HOC
ruizheng20/gpo
The code of paper "Toward Optimal LLM Alignments Using Two-Player Games".
Faldict/fair-classification-with-noisy-labels
chrisliu298/llm-unlearn-eco
Code for Large Language Model Unlearning via Embedding-Corrupted Prompts
weijiaheng/Model-Elicitation
[DAI 2023] Official Pytorch implementation of "Auditing for federated learning: A model elicitation approach"