Starred repositories
PyMC educational resources
Statistical Rethinking course and book package
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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.
Declarative statistical visualization library for Python
Open-Source Battle Simulator, Rankings & Team Building for Pokemon GO PvP
Statistical Rethinking course winter 2022
Pen and paper exercises in machine learning
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Pyth…
Source code for the Online-Go.com web interface
A Python framework for creating, editing, and invoking 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
BAyesian Model-Building Interface (Bambi) in 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…
Thorough analytics for your GitHub repos
Roadmap to becoming a data engineer in 2021
Python Deep Dive Course - Accompanying Materials
Theseus is a Python library for cohort analysis
The package contains tools for parsing DOM data, observing DOM and tracking changes.
