predictive-modeling

moDel Agnostic Language for Exploration and eXplanation

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

Keras implementation of Representation Learning with Contrastive Predictive Coding

Contrastive Predictive Coding for Automatic Speaker Verification

Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters

[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning

⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

Predicts Daily NBA Games Using a Logistic Regression Model

A Library for Conformal Hyperparameter Tuning

A python multi-variate time series prediction library working with sklearn

🚀 Professional AI-powered stock market dashboard with real-time technical analysis, machine learning price predictions, and intelligent market insights. Built with Python, Streamlit, and scikit-learn.

[CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation

The Soccer Predictor a is an advanced machine learning pipeline designed to forecast football match outcomes with high accuracy. By leveraging a combination of ensemble learning techniques and neural networks, the system integrates data collection, feature engineering, and prediction models to deliver precise match predictions.

This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to support data-driven site selection and retail decision-making.