GraphDTA: Predicting drug-target binding affinity with graph neural networks
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Source code for "DeepDTA: deep drug-target binding affinity prediction"
- protein-ligand-interactions
- convolutional-neural-networks
An agent skill for causal teaching figures through predict, try, and explain. Includes rendering kits, reviewed examples, and browser checks.
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
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
- micropython
- neural-network
- multilayer-perceptron
- mlp
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
A Network Integration Approach for Drug-Target Interaction Prediction
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
Predictable JavaScript abstractions for Discord API.
Shallow and Deep Convolutional Networks for Saliency Prediction
Do stock correlations predict the market? 66 pre-registered tests, the data, and a triple pendulum that explains why not. If you have an idea you want me to try, submit it as a PR and I will test it and get back to you.
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
- model-predictive-control
- nonlinear-model-predictive-control
- mpc
- nmpc
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"
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
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