Christopher Keibel's Projects
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Minimalist ML framework for Rust
just the profile readme
Deep Learning Basic Notebooks
Inspired by Reward is enough. In this repository, I will apply DRL algorithms to other AI fields.
Hybrid Search RAG Pipeline code and report. This project is being done in the context of the module "Datenanalyse im Unternehmen" at FH Swf.
Multimodal RAG and comparisons between language models. (Project for Deep Learning Module at the FHSWF)
Generalist model for NER (Extract any entity types from texts)
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
The developer hub of Karakun AG
Large language models and nlp concepts from scratch (pytroch)
Reference implementation of Mistral AI 7B v0.1 model.
multimodal projects (mostly testing stuff)
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.