AI Agent Skills

An overview of algorithms for estimating pseudotime in single-cell RNA-seq data

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…

A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.

An open-source Python backtesting engine for designing and evaluating daily stock trading algorithms against real historical market data.

Turns Data and AI algorithms into production-ready web applications in no time.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Uplift modeling and causal inference with machine learning algorithms

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

PRML algorithms implemented in Python

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic de…

Scalable and user friendly neural :brain: forecasting algorithms.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Rust geospatial primitives & algorithms