Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

G+Smo (pronounced gismo or gizmo) is a C++ library for isogeometric analysis (IGA). Geometry plus simulation modules aims at the seamless integration of Computer-aided Design (CAD) and Finite Eleme…

No-code ETL and data pipelines with AI and NLP

Uplift modeling and causal inference with machine learning algorithms

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

fklearn: Functional Machine Learning

Code for the Book Causal Inference in Python

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 comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

Causal Inference and Discovery in Python by Packt Publishing

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

QLoRA: Efficient Finetuning of Quantized LLMs

Stable Diffusion web UI

[Example APPS] Basic Flutter apps, for flutter devs.

A guidance language for controlling large language models.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Exercise notebooks for Machine Learning modules on Microsoft Learn

Sorare API documentation

A beautiful, simple, clean, and responsive Jekyll theme for academics

A collective list of free APIs

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood