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J.A.R.V.I.S. is an intelligent coding assistant that leverages multiple state-of-the-art language models to help you with code generation, modifications, and technical discussions.
[ArXiv' 24] ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation
the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Task oriented AI agent framework for digital workers and vertical AI agents
A pattern for an always on AI Assistant powered by Deepseek-V3, RealtimeSTT, and Typer for engineering
A modified version of attack_landmark_detection with bug fixes and support for femur landmark detection.
Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"
Ricci-flow based surface parameterisation for analysis of proximal Femur
Pytorch Implementation of Hip Landmark detection using Convolutional Neural Networks
[pip install medsegbench] 35x Standardized Medical Segmentation Datasets from Different Data Modalities
physics-informed neural network for elastodynamics problem
Automatically polyconvex strain energy functions using neural ordinary differential equations (Includes porcine skin data for training and FEM application examples).
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
This is the code of my master thesis.
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
😎 Curated list of awesome software for numerical analysis and scientific computing