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HdM Stuttgart
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Starred repositories
Data repository accompanying the paper "Numerical benchmark study for flow in highly heterogeneous aquifers" by Cristian D. Alecsa, Imre Boros, Florian Frank, Peter Knabner, Mihai Nechita, Alexande…
Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 2023)
This repository collects all relevant resources about interpretability in LLMs
A collection of research materials on explainable AI/ML
A Python implementation of active inference for Markov Decision Processes
[NeurIPS 2023] Learning Transformer Programs
Python notebooks for a tutorial on neurosymbolic programming
A full-featured immersion language learning suite for mobile.
A playbook for systematically maximizing the performance of deep learning models.
A curated list of resources about generative flow networks (GFlowNets).
A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.
Train or evolve controllable and diverse level-generators.
This repo contains the Hugging Face Deep Reinforcement Learning Course.
ICLR'22 Programmatic Reinforcement Learning
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.