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@Datawise_LLC @AUTh
- Thessaloniki, Greece
- https://gr.linkedin.com/in/manos-gionanidis-292bb2200
Stars
A post-processing tool for scanned sheets of paper.
A 3D Slicer extension for SPECT reconstruction, built using PyTomography
This repository enables easy and fast medical image reconstruction in Python.
Operator Discretization Library https://odlgroup.github.io/odl/
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays (ICASSP 2023, Best Student Paper Awards)
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
A lightweight 3D Morphable Face Model library in modern C++
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
jax-triton contains integrations between JAX and OpenAI Triton
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dime…
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
Conformal prediction for uncertainty quantification in image segmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Data and code for "DocPrompting: Generating Code by Retrieving the Docs" @ICLR 2023
An unofficial Pytorch implementation of ERNIE-Layout which is originally released through PaddleNLP.
Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Tesseract Open Source OCR Engine (main repository)
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
LHU-Net: A Light Hybrid U-Net for Cost-efficient, High-performance Volumetric Medical Image Segmentation
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
✨✨Latest Papers on Vision Mamba and Related Areas