Pinned Repositories
dyneusr
Dynamical Neuroimaging Spatiotemporal Representations (DyNeuSR)
neumapper
A scalable Mapper algorithm for neuroimaging data analysis
3d-force-graph
3D force-directed graph component using ThreeJS/WebGL
adversarial-validation
Creating a better validation set when test examples differ from training examples
AML-days-TDA-tutorial
caffeine-mapper
landmark_cover
A landmark-based cover for KeplerMapper
pcluster
A partial clustering wrapper for Mapper
reciprocal_isomap
A reciprocal variant of Isomap for robust non-linear dimensionality reduction in Python
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
calebgeniesse's Repositories
calebgeniesse/calebgeniesse.github.io
calebgeniesse/landmark_cover
A landmark-based cover for KeplerMapper
calebgeniesse/pcluster
A partial clustering wrapper for Mapper
calebgeniesse/reciprocal_isomap
A reciprocal variant of Isomap for robust non-linear dimensionality reduction in Python
calebgeniesse/3d-force-graph
3D force-directed graph component using ThreeJS/WebGL
calebgeniesse/AML-days-TDA-tutorial
calebgeniesse/cayman
Cayman is a Jekyll theme for GitHub Pages
calebgeniesse/characterizing-pinns-failure-modes
Characterizing possible failure modes in physics-informed neural networks.
calebgeniesse/Decorated-Merge-Trees
Tools for generating and comparing Decorated Merge Trees, enriched persistence-based topological data descriptors.
calebgeniesse/dnn-mode-connectivity
Mode Connectivity and Fast Geometric Ensembles in PyTorch
calebgeniesse/Generalization_metrics_for_NLP
calebgeniesse/giotto-deep
Deep learning made topological.
calebgeniesse/git-re-basin
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
calebgeniesse/git-re-basin-pytorch
Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
calebgeniesse/kepler-mapper
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
calebgeniesse/kepler-mapper-backend-example
Demonstration of how to use Kepler Mapper as backend.
calebgeniesse/loss_landscape_taxonomy
[NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
calebgeniesse/mmTDA
Code for paper "A topological data analysis based classification method for multiple measurements"
calebgeniesse/modl
Randomized online matrix factorization
calebgeniesse/nilearn
Machine learning for NeuroImaging in Python
calebgeniesse/ohbm2020-posters
Centralized registry of Jitsi rooms for OHBM 2020 posters.
calebgeniesse/openTSNE
Extensible, parallel implementations of t-SNE
calebgeniesse/pytorch_cluster
PyTorch Extension Library of Optimized Graph Cluster Algorithms
calebgeniesse/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
calebgeniesse/sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
calebgeniesse/SuperBench
calebgeniesse/TopologyLayer
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
calebgeniesse/umap-js
JavaScript implementation of UMAP
calebgeniesse/understanding-umap
Understanding the theory behind UMAP
calebgeniesse/WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks