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New York University
- New York
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18:18
(UTC -04:00)
Highlights
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Stars
[ECCV 2024] Official PyTorch implementation of RoPE-ViT "Rotary Position Embedding for Vision Transformer"
A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration
DSPy: The framework for programming—not prompting—language models
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPRW 2024)
Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
[CVPR 2024] VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
A space to log issues, updates, and software related to the ATLAS (Anatomical Tracings of Lesions After Stroke) database.
This is a PyTorch implementation of BrainMVP for mpMRI brain image analysis.
[CVPR 2024 Extension] 160K volumes (42M slices) datasets, new segmentation datasets, 31M-1.2B pre-trained models, various pre-training recipes, 50+ downstream tasks implementation
Implementations of recent research prototypes/demonstrations using MONAI.
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
Large Medical Image Foundation Model
An Autonomous LLM Agent for Complex Task Solving
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data
an image registration/augmentation/segmentation package
Diffusion parameter EStImation with Gibbs and NoisE Removal pipeline Version 2