Pinned Repositories
munich-nlp.github.io
ClassifyWithCertainty
Out-of-Distribution Detection for Text Classification Using Stochastic Attention and the Deep Deterministic Uncertainty Framework
cleavage_benchmark
Code and dataset for paper "Proteasomal cleavage prediction: state-of-the-art and future directions"
cleavage_extended
[Outdated, see new and extended repo: https://github.com/ziegler-ingo/cleavage_benchmark] Code and dataset for "Proteasomal cleavage prediction: state-of-the-art and future directions"
cleavage_prediction
Code and dataset for the NeurIPS'22 paper "What cleaves? Is proteasomal cleavage prediction reaching a ceiling?" https://arxiv.org/abs/2210.12991
CRAFT
Code, datasets, and checkpoints for the paper "CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation"
epfl_projects
Course and capstone projects of EPFL Extension School's Applied Data Science: Machine Learning course https://www.extensionschool.ch/learn/applied-data-science-machine-learning
ScandiMoE-dev
ziegler-ingo's Repositories
ziegler-ingo/CRAFT
Code, datasets, and checkpoints for the paper "CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation"
ziegler-ingo/cleavage_prediction
Code and dataset for the NeurIPS'22 paper "What cleaves? Is proteasomal cleavage prediction reaching a ceiling?" https://arxiv.org/abs/2210.12991
ziegler-ingo/cleavage_benchmark
Code and dataset for paper "Proteasomal cleavage prediction: state-of-the-art and future directions"
ziegler-ingo/ClassifyWithCertainty
Out-of-Distribution Detection for Text Classification Using Stochastic Attention and the Deep Deterministic Uncertainty Framework
ziegler-ingo/cleavage_extended
[Outdated, see new and extended repo: https://github.com/ziegler-ingo/cleavage_benchmark] Code and dataset for "Proteasomal cleavage prediction: state-of-the-art and future directions"
ziegler-ingo/epfl_projects
Course and capstone projects of EPFL Extension School's Applied Data Science: Machine Learning course https://www.extensionschool.ch/learn/applied-data-science-machine-learning
ziegler-ingo/ScandiMoE-dev