A concise, beginner-friendly introduction to the core ideas of linear algebra.

Pytorch optimiser for training ANNs with exponentiated gradient desent

Braincraft challenge — 1000 neurons, 100 seconds, 10 runs, 2 choices, no reward

Constrained optimization toolkit for PyTorch

PyPSA: Python for Power System Analysis

Notes on keeping Pandas data tidy.

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

A python CAD programming library

Simplifying reinforcement learning for complex game environments

Mai emacs configuration

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

The Student's Guide to @lintool

[ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method

A library for efficient similarity search and clustering of dense vectors.

We write your reusable computer vision tools. 💜

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

Deep Reinforcement Learning: Zero to Hero!

Writing auto-pilots in JavaScript for MSFS

Neuromorphic Intermediate Representation reference implementation

This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series.…

Linux virtual machines, with a focus on running containers

Harness LLMs with Multi-Agent Programming

A grid-world game engine for game AI research

Python supercharged for the fastai library

This repository hosts the code behind the online book, Coding for Economists.

Model API for GALACTICA

Browser extension that generates API specs for any app or website

Distributed Evolutionary Algorithms in Python

Convert a PDDL domain into an OpenAI Gym environment.