-
University of Oxford
- Oxford United Kingdom
- https://www.imm.ox.ac.uk/people/benjamin-mcmaster
- @benjie_mcmaster
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Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have differ…
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
OpenChord is a Python library for creating chord diagrams.
A new markup-based typesetting system that is powerful and easy to learn.
Convert Obsidian vaults to collection of notes readable by Cosma and Zettlr
An exploration of apo vs holo peptide:MHC:TCR structures
Working with molecular structures in pandas DataFrames
Foldseek enables fast and sensitive comparisons of large structure sets.
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
oxpig / SPACE2
Forked from fspoendlin/SPACE2Tool for rapid clustering of antibody models by the structure of their CDRs.
TCR2vec is a deep representation learning framework of T-cell receptor sequence and function
checkcites is a Lua script written for the sole purpose of detecting undefined/unused references from LaTeX auxiliary or bibliography files.
Convert Machine Learning Code Between Frameworks
Matplotlib styles for scientific plotting
The Slurm (or Simple) Profiling Service is a lightweight job profiler which bridges the gap between numerical job stats and full-blown application profiling
oxpig / ImmuneBuilder
Forked from brennanaba/ImmuneBuilderPredict the structure of immune receptor proteins
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2