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London

Hannes Stärk

Elite
@HannesStark

Research at Boltz • PhD from MIT • ML for biomolecules

boltzgen. BoltzGen: Toward Universal Binder Design

1k

EquiBind. EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

547

3DInfomax. Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

172

dirichlet-flow-matching. Python

141

FlowSite. Implementation of FlowSite and HarmonicFlow from the paper "Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design"

106

protein-localization. Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins :microscope:

79

SMPL-NeRF. Embed human pose information into neural radiance fields (NeRF) to render images of humans in desired poses :running: from novel views

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gnn-reinforcement-learning. Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.

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CodonMPNN. Python

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hannes-stark. Code for my website built with Angular and running on GitHub Pages.

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GNN-primer. Jupyter Notebook

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attention-to-binding-sites. Unsupervised method for binding site prediction using attention patterns of protein language models.

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molecule-ELECTRA. Pre-train and evaluate Graph Neural Networks or Transformers on molecules with the ELECTRA method.

3

audioImprovement. Removing background noise from clips of speech and improving audio quality (PyTorch)

3

genie. Python

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testtt_anonymous. HTML

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logag.

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e3nn. A modular framework for neural networks with Euclidean symmetry

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HannesStark.

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ec-number-prediction. Using similarity in embedding space for predicting EC numbers

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ogb. Benchmark datasets, data loaders, and evaluators for graph machine learning

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se3-transformer-public. code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

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bachelorThesis. TensorFlow code and LaTex for Bachelor Thesis: Understanding Variational Autoencoders' Latent Representations of Remote Sensing Images :earth_africa:

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chroma. Python

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dependencyNodeRanking. R code for NetworkCentralityCalculator. A web-tool with 5 different centrality measures. LaTex and pdf for documentation and explanation of different measures with a focus on "dependency centrality".

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