Satellite prediction library for crystal using the sgp4 model
- sgp4
- crystal
- satellite
- satellite-prediction
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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.
Wisp CLI — Interactive trading platform for backtesting and live trading across spot, perpetual futures, options, and prediction markets
Compile-time annotation processor for Spring Boot. Generates predictable REST APIs, DTOs, JSON Patch endpoints, and N+1 safe JPA repositories without runtime reflection.
- annotation-processor
- boilerplate
- code-generator
- dto
CoreML Project that predicts the most likely next chord based on the entered Chord Progression. This project is based on the following AI Model project and article https://medium.com/@huanlui/chordsuggester-i-3a1261d4ea9e
Redict library for the V language. Compatible with Redis <=7.2.4 https://redict.io/docs/redis-compat/
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
A simple implementation of n-Gram predictor in ActionScript 3.0 for AI bot/agent in a video games
DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies
A lightweight implementation of Elastic Search and Predictive Ngrams
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.
An implementation of Naive-Bayes predictor in ActionScript 3.0 for AI bot/agent in a video games.
Package to set up autonomous agents to trade on TBD
- agents
- agents-md
- ai-agents
- autonomous-agents
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.
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.