Stars
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Source codes and example scripts for chromatin tracing projects in Zhuang lab
A sketch extractor for anime/illustration.
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
[NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
single cell Flux Estimation Analysis (scFEA)
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
A scikit-learn compatible library for graph kernels
⏰ AI conference deadline countdowns
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
Ranking, acceptance rate, deadline, and publication tips
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
A collection of print defect detection and quality assessment papers with code (constantly updating)
Weekly project for BME595A(Deep Learning) 2018 Fall, Purdue University.
Accurate identification of cell type and phenotypic marker genes in single cell transcriptomic data via a data augmentation approach
changwn / ICTD
Forked from zy26/ICTDA semi-supervised cell type identification and deonvolution method for multi-omics data