"AI-Trader: Can AI Beat the Market?" Live Trading Bench: https://ai4trade.ai Tech Report Link: https://arxiv.org/abs/2512.10971

The best ChatGPT that $100 can buy.

A Repo for Building AI Apps with Small Language Models (SLMs) on O'Reilly by Pratheerth Padman

Low effort linking and easy de-duplication. Databricks ARC provides a simple, automated, lakehouse integrated entity resolution solution for intra and inter data linking.

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

A strategy for tennis matches betting

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Uplift modeling and causal inference with machine learning algorithms

A playbook for systematically maximizing the performance of deep learning models.

A collection of tools for reverse engineering neural networks.

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Stock Trading Bot using Deep Q-Learning

Arbitrage Betting Bot

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

GRAPH ATTENTION REINFORCEMENT LEARNING

A python library for user-friendly forecasting and anomaly detection on time series.

Tutorials for SimFin - Simple financial data for Python

Fast SHAP value computation for interpreting tree-based models

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ᕲ Duino-Coin is a coin that can be mined with almost everything, including Arduino boards.

package for optimal out-of-sample forecast evaluation and testing under stationarity

A Python library that helps data scientists to infer causation rather than observing correlation.