The best-benchmarked open-source AI memory system. And it's free.

A library of Jupyter notebooks and corresponding YouTube lectures by Roman Paolucci

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

Half day workshop covering insurance pricing with GAMs, GLMs, trees and clustering.

A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

Open-source implementation of AlphaEvolve

AI agents running research on single-GPU nanochat training automatically

A directed multi-graph library for JavaScript

Open-source orchestration for zero-human companies

Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.

Avellaneda-Stoikov HFT market making algorithm implementation

LLM Council works together to answer your hardest questions

Modular reinforcement learning framework for algorithmic trading

trend / momentum and other patterns in financial timeseries

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

An open-source, lightweight, and blazing-fast financial machine learning library built with Numba. Process raw trades, generate advanced bars, features, and labels for quantitative research.

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Algorithms for outlier, adversarial and drift detection

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Code for Paper: Zero-Shot Offline Imitation Learning via Optimal Transport

Trajectory-ranked Reward EXtrapolation (T-REX) for Inverse Reinforcement Learning - A Tensorflow implementation trained on OpenAI Gym environments

Phased LSTM