ChristophRaab
Machine Learning Researcher from Bamberg, Germany. LLMs, Natural Language Processing, Domain Adaptation, Concept Drit.
Bamberg
Pinned Repositories
ASAN
Code release for "Bridging Adversarial and Statistical DomainTransfer via Spectral Adaptation Networks" at ACCV2020
Cairo-Showcases
AI use cases from the Center of Artificial Intelligence and Robotics at FHWS.
DATL
Source Code for the Submission Domain Adversarial Tangent Learning towards Interpretable Domain Adaptation
NASDAQ-Dataset
Concept drift and Domain Adaptation Datasets based on Twitter feed with Hashtags related to NASDAQ
nso
Code release for the KI 2020 Paper "Low-Rank Subspace Override for Unsupervised Domain Adaptation".
ntvm
pctkvm
Code for the paper Transfer learning for the probabilistic classification vector machine
rrslvq
Code release of Reactive Robust Learning Vector Quantization
stvm
Code for the paper: Sparse Transfer Classification for Text Documents.
thesis
Code and Thesis of Dissertation 'Learning in Non-Stationary Environments
ChristophRaab's Repositories
ChristophRaab/nso
Code release for the KI 2020 Paper "Low-Rank Subspace Override for Unsupervised Domain Adaptation".
ChristophRaab/rrslvq
Code release of Reactive Robust Learning Vector Quantization
ChristophRaab/ASAN
Code release for "Bridging Adversarial and Statistical DomainTransfer via Spectral Adaptation Networks" at ACCV2020
ChristophRaab/DATL
Source Code for the Submission Domain Adversarial Tangent Learning towards Interpretable Domain Adaptation
ChristophRaab/NASDAQ-Dataset
Concept drift and Domain Adaptation Datasets based on Twitter feed with Hashtags related to NASDAQ
ChristophRaab/ntvm
ChristophRaab/pctkvm
Code for the paper Transfer learning for the probabilistic classification vector machine
ChristophRaab/stvm
Code for the paper: Sparse Transfer Classification for Text Documents.
ChristophRaab/Cairo-Showcases
AI use cases from the Center of Artificial Intelligence and Robotics at FHWS.
ChristophRaab/thesis
Code and Thesis of Dissertation 'Learning in Non-Stationary Environments
ChristophRaab/continue
⏩ Continue is an open-source autopilot for VS Code and JetBrains—the easiest way to code with any LLM
ChristophRaab/cpn_ba
Repository of the bachelor thesis of Sebastian Kaim
ChristophRaab/DSBN
Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"
ChristophRaab/DSN
PyTorch implementation of the Unsupervised Domain Adaptation method Deep Spectral Network
ChristophRaab/llm-ls
LSP server leveraging LLMs for code completion (and more?)
ChristophRaab/neuro-symbolic-ai-systematic-review
ChristophRaab/Office_Caltech_DA_Dataset
Office Caltech Domain 10 Adaptation Dataset
ChristophRaab/SHOT
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
ChristophRaab/smart-thesis
Memoir-based LaTeX theme inspired by Classic Thesis
ChristophRaab/text-generation-inference
Large Language Model Text Generation Inference
ChristophRaab/udacity-cnn-dog-breed-project
ChristophRaab/udacity-face-generation-project
ChristophRaab/udacity-neural-network-project
ChristophRaab/Webmining