OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
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This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
DecisionPivot: a diagnostic benchmark for decision models in LLM systems. Contrast pairs that differ in one decisive detail, generators with independent solvers, scorer and runners.
- benchmark
- calibration
- decision-making
- evaluation
Easy link prediction tool
- python
- network-analysis
- link-prediction
- research
code to run sei and obtain sei and sequence class predictions
Forecast what will happen, including outcomes of your decisions.
- claude-code-plugin
- forecasting
- mcp
- multi-agent
The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
- safety
- scenario
PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
The application allows you to trade on the outcomes of events, and follow the odds to garner accurate insights about the future. Users buy or sell Voting Shares, which can be redeemed for 1 unit of the stable asset if the outcome is resolved as correct, and become worthless if it’s incorrect.
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
- ai-agents
- prediction-markets
- starter-template
- trading-bot
DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies
GNN-based gene-selection deep learning model for drug response prediction
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.