Source code for "DeepDTA: deep drug-target binding affinity prediction"
- protein-ligand-interactions
- convolutional-neural-networks
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RNA-seq prediction with deep convolutional neural networks.
Neovim edit completion plugin
- nvim
- cursor-prediction
- edit-completion
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
Stacked Generalization (Ensemble Learning)
- stacking
- ensemble-learning
- scikit-learn
- xgboost
Spatial and spatio-temporal geostatistical modelling, prediction and simulation
A Network Integration Approach for Drug-Target Interaction Prediction
Shallow and Deep Convolutional Networks for Saliency Prediction
PolyTutor overview of Polymarket trading bots: strategy guides (copy trading, market making, dump-hedge, last-seconds, sports), case studies, and engineering notes. Smart trading. Real edge.
- documentation
- polymarket
- polytutor
- prediction-markets
Passive market-making bot for Predict.fun: quotes from live order books, replaces stale orders and cancels on unsafe price/depth; Windows desktop app and web console for Ubuntu servers.
- desktop-app
- market-making
- predict-fun
- prediction-markets
CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
- cvpr2020
- autonomous-driving
- perception
- motion-prediction
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
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
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
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
- protein
- protein-sequences
- protein-design
- representation-learning
Easy link prediction tool
- python
- network-analysis
- link-prediction
- research
The example of running Depth Prediction using Core ML
- depth-prediction
- swift
- fcrn-depthprediction
- coreml
code to run sei and obtain sei and sequence class predictions
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
- ddi
- drug-synergy
- synergy-prediction
- deep-chemistry
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Forecast what will happen, including outcomes of your decisions.
- claude-code-plugin
- forecasting
- mcp
- multi-agent