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Lists (6)
Starred repositories
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Breed and share images using biggan
You like pytorch? You like micrograd? You love tinygrad! ❤️
A terminal-based Dicom/NRRD/Nifti image viewer built on textual and textual-image
Providing top performing algorithms from the Brain Tumor Segmentation (BraTS) challenges.
A Deep Learning Python Toolkit for Healthcare Applications.
Open-source Multi-agent Poster Generation from Papers
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios wit…
A multi-agentic framework for autonomous end-to-end development of radiomics and deep learning models for medical imaging
[ICLR 2025] Learning General-purpose Biomedical Volume Representations using Randomized Synthesis
Repository for the PGA-MAP-Elites algorithm. PGA-MAP-Elites was developed to efficiently scale MAP-Elites to large genotypes and noisy domains. It uses Neuroevolution driven by a Genetic Algorithm …
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
ATOMMIC: Advanced Toolbox for Multitask Medical Imaging Consistency
A tiny GitHub searcher using the GitHub API. No authentication required.
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Continuous Thought Machines, because thought takes time and reasoning is a process.
A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.
This is the official implementation of SLM-SAM 2
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Bootstrap yourself to write an OS from scratch. A book for self-learner.
From the Transistor to the Web Browser, a rough outline for a 12 week course
Parameter-Efficient Fine-Tuning for Liver Tumor Segmentation