Pinned Repositories
representation-engineering
Representation Engineering: A Top-Down Approach to AI Transparency
biobert-pretrained-pytorch
PyTorch Versions of Pre-trained BioBERT Models
DAGNN
A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.
data_efficient_grammar
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
fms-dgt
Synthetic Data Generation for Foundation Models
graphretro
Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
lm-evaluation-harness
A framework for few-shot evaluation of language models.
qed
SPAQRL QED: a system generating out-of-the-box datasets for SPARQL queries over linked data.
retroeval
Simple evaluation tools for single-step retrosynthesis models.
vn-analysis
virtual node analysis on ogb benchmark dataset
vthost's Repositories
vthost/DAGNN
A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.
vthost/retroeval
Simple evaluation tools for single-step retrosynthesis models.
vthost/biobert-pretrained-pytorch
PyTorch Versions of Pre-trained BioBERT Models
vthost/data_efficient_grammar
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
vthost/fms-dgt
Synthetic Data Generation for Foundation Models
vthost/graphretro
Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
vthost/lm-evaluation-harness
A framework for few-shot evaluation of language models.
vthost/qed
SPAQRL QED: a system generating out-of-the-box datasets for SPARQL queries over linked data.
vthost/vn-analysis
virtual node analysis on ogb benchmark dataset