-
Google
Starred repositories
A benchmark for long-horizon, continuously-learning AI agents in a persistent world that no one operates (Kamigotchi). Early-stage research.
Generate RSS feeds for all the blogs that don't have one
Community wiki for Kamigotchi — on-chain MMORPG on Yominet
PyMC educational resources
Statistical Rethinking course and book package
Save multiple tabs for later and reopen them with a single click.
Convert Machine Learning Code Between Frameworks
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Collection of comprehensive TypeScript libraries for Interaction with the Ethereum JSON RPC API and utility functions.
Open-Source Battle Simulator, Rankings & Team Building for Pokemon GO PvP
Statistical Rethinking course winter 2022
Pen and paper exercises in machine learning
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 …
Source code for the Online-Go.com web interface
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Self-study on Larry Wasserman's "All of Statistics"
Open source code for AlphaFold 2.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Exploratory analysis of Bayesian models with Python
Series of blog posts with simple explanations of statistical concepts supplemented with simulations in Python.
Generate bootstrapped confidence intervals for A/B testing in Python.
Statsmodels: statistical modeling and econometrics in Python
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…