Interpretable Machine Learning research project at LMU Munich: Understanding implications of dataset choice for feature effect estimation in a simulation-based investigation through error decomposi…

A framework for prompt optimization and a zoo of prompt optimization algorithms

Interpretable ML Research Project at LMU Munich: Quantifying the the feature effect errors of PDP and ALE empirically through simulation studies

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Mastering Diverse Domains through World Models

Development and systematic evaluation of approaches for the simulation of optimization test functions with Machine Learning methods

Leveraging various traditional and modern NLP approaches to analyse a dataset with script lines from the US TV-show "The Office".

Repository for exam in lecture "Intelligent Text Analysis" at DHBW Ravensburg. Various traditional and modern NLP approaches are used to analyse a dataset with scenes from the US TV-show "The Office".

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

Neural Translator for Swabian to German

Automated Machine Learning with scikit-learn

A list of totally open alternatives to ChatGPT

Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Systematic empirical evaluation of Particle Swarm Optimization for the optimization of Gaussian Process models

A toolkit for developing and comparing reinforcement learning algorithms.

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.