thupchnsky
PhD student interested in machine learning, graph mining and bioinformatics. Animal lover also!
University of Illinois, Urbana-Champaign
Pinned Repositories
2DDNA
Official implementation for 2DDNA image storage platform (Nature Communications)
dp-gnn
DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)
graph_unlearn
Unlearning Graph Classifiers with Limited Data Resources (TheWebConf 2023)
ModifiedBasesAnalysis
Official implementation of paper "Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Nanopore Readouts" (Nano Letters)
mufc
A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
PoincareLinearClassification
Official implementation of Highly Scalable and Provably Accurate Classification in Poincaré Balls (ICDM regular paper 2021)
product-space-linear-classifiers
Official implementation of paper "Linear Classifiers in Product Space Forms"
pytorch_geometric_gprgnn
Graph Neural Network Library for PyTorch, new feature implementation
query_kmeans
Implementation of query k-means algorithm (Neurips 2018)
sgc_unlearn
Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
thupchnsky's Repositories
thupchnsky/mufc
A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
thupchnsky/sgc_unlearn
Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
thupchnsky/dp-gnn
DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)
thupchnsky/graph_unlearn
Unlearning Graph Classifiers with Limited Data Resources (TheWebConf 2023)
thupchnsky/PoincareLinearClassification
Official implementation of Highly Scalable and Provably Accurate Classification in Poincaré Balls (ICDM regular paper 2021)
thupchnsky/query_kmeans
Implementation of query k-means algorithm (Neurips 2018)
thupchnsky/2DDNA
Official implementation for 2DDNA image storage platform (Nature Communications)
thupchnsky/ModifiedBasesAnalysis
Official implementation of paper "Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Nanopore Readouts" (Nano Letters)
thupchnsky/product-space-linear-classifiers
Official implementation of paper "Linear Classifiers in Product Space Forms"
thupchnsky/pytorch_geometric_gprgnn
Graph Neural Network Library for PyTorch, new feature implementation
thupchnsky/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
thupchnsky/auto-castp-analysis
Run castp analysis (http://sts.bioe.uic.edu/castp/calculation.html) directly from code.
thupchnsky/C1GamesStarterKit
Starter kit for new players of Terminal. Contains starter-algo and a basic CLI for running/debugging algo's locally.
thupchnsky/chromatin_DL
Dictionary learning for ChIA-Drop experiments with online convex matrix factorization
thupchnsky/ecole
Extensible Combinatorial Optimization Learning Environments
thupchnsky/FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.
thupchnsky/generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
thupchnsky/graph-scattering-transforms
Code for experimentation on graph scattering transforms
thupchnsky/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
thupchnsky/mmskeleton
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
thupchnsky/mvae
Mixed-curvature Variational Autoencoders (ICLR 2020)
thupchnsky/sc_mvae
Mixed-curv VAE with new functionalities
thupchnsky/SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
thupchnsky/tailfindr
An R package for estimating poly(A)-tail lengths in Oxford Nanopore RNA and DNA reads.