A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)

DiffModeler: a diffusion model based protein complex structure modeling tool.

Code for the Paper: TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction

BioMamba is a pre-trained Mamba architecture model for the biomedical domain.

Code base for the paper DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning, NeurIPS 2024 AIDrugX Spotlight

Awesome Papers related to Mamba.

Mol-Opt: a toolbox for molecular design

The official repo for paper: Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction by Tianyi Chen, Nan Hao, Yingzhou Lu, Capucine Van Rechem, Tianfan Fu

GenoCraft: A Comprehensive, User-Friendly Web Platform for High-Throughput Omics Data Analysis and Visualization (https://arxiv.org/pdf/2312.14249)

Artificial Intelligence Research for Science (AIRS)

Differential Dependency Network

Anomaly detection related books, papers, videos, and toolboxes

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Diffusion model papers, survey, and taxonomy

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization (AAAI 21')

AI for Science

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

A collection of *fold* tools

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.