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bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

candle

Minimalist ML framework for Rust

ckeibel

just the profile readme

computervision_tf2

deep_learning_basics_tensorflow-with_kears

Deep Learning Basic Notebooks

deep_reinforcement_learning

drl_reward_is_enough

Inspired by Reward is enough. In this repository, I will apply DRL algorithms to other AI fields.

fhswf-datascience-master

fhswf-datenanalyse-im-unternehmen

Hybrid Search RAG Pipeline code and report. This project is being done in the context of the module "Datenanalyse im Unternehmen" at FH Swf.

fhswf-deep-learning

Multimodal RAG and comparisons between language models. (Project for Deep Learning Module at the FHSWF)

generative_adversarial_networks

gliner

Generalist model for NER (Extract any entity types from texts)

haystack

: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.

hf-rag-with-chat-history-via-jinja-template

huggingface-basics

hybrid-search-rag

karakun.github.io

The developer hub of Karakun AG

knowledge-distillation

language-alignment

llms-from-scratch

Large language models and nlp concepts from scratch (pytroch)

lstm_for_human_activity_recognition

minimalistic-semantic-search-app

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

multimodal-projects

multimodal projects (mostly testing stuff)

natural_language_processing_tf2

nemo-guardrails

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

neural-networks-from-scratch

openai-clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

pacman_reinforcementlearning

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.