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🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…
Official Python library for the DeepL language translation API.
TeleChat: 🤖️ an AI chat Telegram bot can Web Search Powered by GPT-5, DALL·E , Groq, Gemini 2.5 Pro/Flash and the official Claude4.1 API using Python on Zeabur, fly.io and Replit.
This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balan…
MetaSeg: Packaged version of the Segment Anything repository
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
ALCF Concept to Clinic Challenge
A curated list of reproducible research case studies, projects, tutorials, and media
spaCy pipeline object for negating concepts in text
Dense Distinct Query for End-to-End Object Detection (CVPR2023)
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
Pre-trained Word2Vec Model for Turkish
A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.
BERN2: an advanced neural biomedical namedentity recognition and normalization tool
Introduction Parkinson’s Disease is the second most prevalent neurodegenerative disorder after Alzheimer’s, affecting more than 10 million people worldwide. Parkinson’s is characterized primarily b…
Breast density classification with deep convolutional neural networks
Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
[ICCV 2023] AlignDet: Aligning Pre-training and Fine-tuning in Object Detection.
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
Recognize bio-medical entities from a text corpus
The official implementation of “Cross-Modal Causal Representation Learning for Radiology Report Generation” （IEEE T-IP 2025）
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
This project is done in collaboration with Rhode Island Hospital, Department of Diagnostic Imaging.
Fully automated breast segmentation on Mammographies.