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A novel segmentation model termed Swin UNEt TRansformers (Swin UNETR). Specially for the task of 3D semantic segmentation.
E2E MLOps template: delivery time prediction. Lightweight and reproducible. DataTalksClub
Access OpenAI models programmatically through your ChatGPT subscription.
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
A powerful proxy management tool, built on top of Xray-core, with a focus on simplicity and ease of use.
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
Hierarchical Reasoning Model Official Release
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
This package contains the original 2012 AlexNet code.
Build your next project in a single prompt.
The Triton backend for the PyTorch TorchScript models.
A framework for data augmentation for 2D and 3D image classification and segmentation
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
This is the extension of Mask RCNN model to 3D images.
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 …
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Машинное обучение на ФКН ВШЭ
DL course co-developed by YSDA, HSE and Skoltech
YSDA course in Natural Language Processing
Open Machine Learning course
Практические уроки по использованию Yandex DataSphere
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation