gennadylaptev's Stars
OnDraganov/chromatic-tda
Tool to compute six-packs of persistence diagrams for chromatic point clouds [packaged on PyPI]
txWang/MOGONET
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
marakeby/pnet_prostate_paper
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
cowboyslick/math_club
Репозиторий с полезной инфой для проведения чтений в Матклубе.
ivandariojr/LyapunovLearning
GUDHI/tda_financial_time_series_notebook
This web app is a reimplementation of the paper [TDA of financial time series: Landscapes of crashes](https://arxiv.org/abs/1703.04385) using [gudhi](https://gudhi.inria.fr).
lrnzgiusti/awesome-topological-deep-learning
A curated list of topological deep learning (TDL) resources and links.
metya/vanity-bot
Bot for fetching snippet descriptions for arxiv.org and summarizing papers
GeometryCollective/ddg-exercises
Assignment skeleton for course on Discrete Differential Geometry (15-458/858)
neuraloperator/neuraloperator
Learning in infinite dimension with neural operators.
pytorch/audio
Data manipulation and transformation for audio signal processing, powered by PyTorch
elgazzarr/fMRIGNNs
Benchmarking GNNs for fMRI analysis
qinglew/PointCloudTransformer
Implementation of PCT(Point Cloud Transformer) in PyTorch.
HuthLab/semantic-decoding
OpenAppliedTopology/Umatch_paper
Data and code for the paper "U-match factorization: sparse homological algebra, lazy cycle representatives, and dualities in persistent (co)homology"
jonkhler/s2cnn
Spherical CNNs
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
gaurav71531/mwt-operator
Multiwavelets-based operator model
arneschneuing/DiffSBDD
A Euclidean diffusion model for structure-based drug design.
MAZiqing/FEDformer
sinzlab/pytorch-docker
Docker image for PyTorch based on nvidia/cuda images
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pbloem/former
Simple transformer implementation from scratch in pytorch.
icon-lab/BolT
Fused Window Transformers for fMRI Time Series Analysis (https://www.sciencedirect.com/science/article/pii/S1361841523001019)
danchern97/RTD_AE
This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.
lrnzgiusti/can
Official repository for Cell Attention Networks
twitter-research/cwn
Message Passing Neural Networks for Simplicial and Cell Complexes
twitter-research/neural-sheaf-diffusion
BeautyOfWeb/Multiview-AutoEncoder
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis
bacnguyencong/rbm-pytorch
An implementation of Restricted Boltzmann Machine in Pytorch