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Tobias Ringwald's Projects

adaptiope icon adaptiope

Project page for our WACV 2021 paper "Adaptiope: A Modern Benchmark for Unsupervised Domain Adaptation"

cvp icon cvp

Code for our currently unpublished work "Certainty Volume Prediction for Unsupervised Domain Adaptation".

fastapi icon fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

haystack icon 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.

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

mlx icon mlx

MLX: An array framework for Apple silicon

poetry icon poetry

Python packaging and dependency management made easy

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qdrant icon qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

torchmetrics icon torchmetrics

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

uav-net icon uav-net

Project page for our CVPRW 2019 paper "UAV-Net: A Fast Aerial Vehicle Detector for Mobile Platforms".

ubr2s icon ubr2s

Project page for our BMVC 2021 paper "UBR²S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation".

ufal icon ufal

Official implementation for our BMVC 2020 paper "Unsupervised Domain Adaptation by Uncertain Feature Alignment".

vectordb icon vectordb

A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.

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