psturmfels
PhD student at the University of Washington, Seattle; Origami hobbyist and game developer on the side.
University of Washington, SeattleSeattle, Washington
psturmfels's Stars
barborico/recipes
A place to accumulate, tweak, and share favorite recipes.
lucidrains/alphafold3-pytorch
Implementation of Alphafold 3 in Pytorch
duerrsimon/bioicons
A library of free open source icons for science illustrations in biology and chemistry
maabuu/posebusters
Plausibility checks for generated molecule poses.
NVlabs/edm
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
lucidrains/equiformer-pytorch
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
psturmfels/Avalanche
Simple vertical-scrolling tap-jump game
PDB-REDO/alphafill
AlphaFill is an algorithm based on sequence and structure similarity that “transplants” missing compounds to the AlphaFold models. By adding the molecular context to the protein structures, the models can be more easily appreciated in terms of function and structure integrity.
biolists/folding_tools
A collection of *fold* tools
oriedita/oriedita
Oriedita (fork of Orihime) is an origami crease pattern editor and folding simulator.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
soedinglab/MMseqs2
MMseqs2: ultra fast and sensitive search and clustering suite
gnusenpai/colemakclub
Fork of colemak.academy
bbbbbrie/awesome-kinesis
Unofficial curated list of resources and references for Kinesis keyboard enthusiasts
farmergreg/kinesis-advantage-2
Keyboard layouts and macros for the Kinesis Advantage 2 keyboard.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Rostlab/EAT
Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer annotations from a set of labeled lookup protein embeddings to query protein embedding.
ermongroup/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
hiranumn/DeepAccNet
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
FunctionLab/selene
a framework for training sequence-level deep learning networks
suinleelab/cxr_adv
Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
suinleelab/DeepProfile
DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression samples and uses the learned network to encode a low-dimensional representation (LDR) for predicting complex phenotypes
hovancik/stretchly
The break time reminder app
paolobif/Worm-Yolo
Implementation of yolov3 on C.elegans
agemagician/ProtTrans
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
yangkky/Machine-learning-for-proteins
Listing of papers about machine learning for proteins.
songlab-cal/tape
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
suinleelab/path_explain
A repository for explaining feature attributions and feature interactions in deep neural networks.