Life sciences
GitHub

Albumentations on GitHub in Life sciences

Used in 784 public GitHub repositories

Biological research, biotechnology, pharmaceutical research, biomedical science, and healthcare imaging.

Scientist examining a sample through a laboratory microscope
Photo: Edward Jenner on Pexels

Public examples

Top public GitHub repositories

Showing the top 100

  1. Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 148 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

    47,184 stars3,130 forks
  2. OpenMMLab Semantic Segmentation Toolbox and Benchmark.

    9,966 stars2,857 forks
  3. Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

    9,399 stars1,711 forks
  4. AI Toolkit for Healthcare Imaging

    8,739 stars1,567 forks
  5. Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

    7,025 stars2,263 forks
  6. The largest open-source medical AI skills library for OpenClaw🦞.

    3,040 stars402 forks
  7. 【ICML 2025 Spotlight】 Official Repo for Paper ‘’HealthGPT : A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation‘’

    1,662 stars243 forks
  8. A lightweight adapter bridges SAM with medical imaging [MedIA]

    1,326 stars127 forks
  9. MedRAX: Medical Reasoning Agent for Chest X-ray - ICML 2025

    1,237 stars206 forks
  10. PyTorch implementation of UNet++ (Nested U-Net).

    1,051 stars219 forks
  11. ⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.

    981 stars207 forks
  12. tracking medical datasets, with a focus on medical imaging

    930 stars120 forks
  13. A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development, bioinformatics, drug discovery, clinical research, machine learning, and data analysis.

    930 stars61 forks
  14. Neuroimaging analysis and visualization suite

    877 stars301 forks
  15. ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

    648 stars143 forks
  16. Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

    638 stars212 forks
  17. Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013

    599 stars472 forks
  18. SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

    578 stars49 forks
  19. Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

    571 stars85 forks
  20. Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

    563 stars44 forks
  21. [AAAI' 25] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

    559 stars69 forks
  22. Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

    552 stars106 forks
  23. [BIONLP@ACL 2024] XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

    532 stars63 forks
  24. Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

    488 stars74 forks
  25. cuCIM - RAPIDS GPU-accelerated image processing library

    469 stars84 forks
  26. Tools for computational pathology

    463 stars87 forks
  27. GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)

    411 stars104 forks
  28. CellViT: Vision Transformers for Precise Cell Segmentation and Classification

    399 stars73 forks
  29. [IEEE Transactions on Medical Imaging/TMI 2023] This repo is the official implementation of "LViT: Language meets Vision Transformer in Medical Image Segmentation"

    392 stars39 forks
  30. Official repository of CVPR 2024 paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation"

    354 stars24 forks
  31. Video and Image Analytics for Multiple Environments

    340 stars92 forks
  32. Accessible and interoperable whole slide image analysis

    326 stars32 forks
  33. 3D Slicer Plugin for Segment anything in medical images

    304 stars31 forks
  34. SegDINO: An Efficient Design for Medical and Natural Image Segmentation with DINO-V3

    293 stars27 forks
  35. MedSeg: Medical Image Segmentation GUI Toolbox 可视化医学图像分割工具箱

    289 stars22 forks
  36. [TPAMI 2026] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

    288 stars18 forks
  37. This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.

    274 stars76 forks
  38. [WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

    269 stars22 forks
  39. A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

    264 stars66 forks
  40. GLoRIA: A Multimodal Global-Local Representation Learning Framework forLabel-efficient Medical Image Recognition

    249 stars39 forks
  41. Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

    244 stars31 forks
  42. Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))

    241 stars70 forks
  43. ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!🌟💫 Devfolio URL, https://devfolio.co/projects/mlcrate-98f9

    221 stars209 forks
  44. 221 stars17 forks
  45. [ICCV2023] XNet: Wavelet-Based Low and High Frequency Merging Networks for Semi- and Supervised Semantic Segmentation of Biomedical Images

    217 stars10 forks
  46. Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"

    216 stars29 forks
  47. This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

    215 stars32 forks
  48. Accepted in CVPR 2023

    215 stars16 forks
  49. 213 stars51 forks
  50. medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

    206 stars23 forks
  51. [NeurIPS 2026] U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

    202 stars26 forks
  52. A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

    193 stars34 forks
  53. A generalizable application framework for segmentation, regression, and classification using PyTorch

    191 stars90 forks
  54. [WACV 2024] Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study

    189 stars21 forks
  55. The official code for MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology. We propose to leverage medical specific knowledge enhancing language-image pre-training method, significantly advancing the ability of pre-trained models to handle unseen diseases on zero-shot classification and grounding tasks.

    183 stars20 forks
  56. [NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

    182 stars28 forks
  57. Isaac for Healthcare reference workflows

    177 stars46 forks
  58. Implementation of the AAAI-2025 paper "ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement".

    173 stars15 forks
  59. Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

    172 stars55 forks
  60. [Nature Medicine'25] A Multimodal Vision Foundation Model for Clinical Dermatology

    172 stars20 forks
  61. Offical Code of MICCAI'24 early accepted paper "LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos"

    172 stars17 forks
  62. A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

    171 stars29 forks
  63. (NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"

    158 stars36 forks
  64. Scalable Instance Segmentation using PyTorch & PyTorch Lightning.

    151 stars24 forks
  65. Endora: Video Generation Models as Endoscopy Simulators (MICCAI 2024)

    149 stars7 forks
  66. [MICCAI'24 Provisional Acceptance] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".

    148 stars18 forks
  67. 144 stars24 forks
  68. PriMIA: Privacy-preserving Medical Image Analysis

    139 stars22 forks
  69. 138 stars6 forks
  70. [ICONIP 2024] [IEEE Access 2025] YOLOv8-AM: YOLOv8 with Attention Mechanisms for Pediatric Wrist Fracture Detection

    136 stars29 forks
  71. [ISBI 2024 Oral] Official Pytorch Code base for "CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion"

    136 stars14 forks
  72. A Pytorch implement of medical image segmentation U-shape architecture benchmarks

    135 stars8 forks
  73. Deep learning for medical image segmentation in R: 2D and 3D, DICOM and NIfTI, one specification.

    134 stars9 forks
  74. [MICCAI 2021] Boundary-aware Transformers for Skin Lesion Segmentation

    133 stars24 forks
  75. 131 stars32 forks
  76. Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )

    129 stars32 forks
  77. An implementation of Unet for pytorch designed for digital pathology segmentation

    128 stars68 forks
  78. Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

    126 stars27 forks
  79. R interface to fast.ai

    121 stars13 forks
  80. Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023

    120 stars7 forks
  81. A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

    119 stars31 forks
  82. Daily updated resources on AI across various domains including ML, development, education, healthcare, real estate, robotics, crypto, web3 and more, curated by enthusiasts.

    119 stars23 forks
  83. [IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".

    118 stars9 forks
  84. [MICCAI 2024] Codebase for "Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process"

    117 stars10 forks
  85. NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

    116 stars5 forks
  86. Encoder-Decoder Cell and Nuclei segmentation models

    108 stars6 forks
  87. Code for TIP2026 paper: CycleDiff: Cycle Diffusion Models for Unpaired Image-to-image Translation

    104 stars4 forks
  88. [MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".

    101 stars15 forks
  89. ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

    98 stars17 forks
  90. AI-powered IDE for bioinformatics — built by biologists, for biologists

    98 stars11 forks
  91. A working portfolio of end-to-end data engineering, actuarial modelling, and applied ML projects across the insurance and healthcare domains — from cloud lakehouse pipelines to regulatory-grade longevity models.

    97 stars96 forks
  92. The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"

    97 stars19 forks
  93. This repo is the official implementation of 'Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation' which is an improved journal version of UCTransNet.

    97 stars14 forks
  94. Official repository of ICCV 2025 CVAMD Oral paper: MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation

    96 stars11 forks
  95. Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model

    96 stars7 forks
  96. [JAMA] "Complete AI-Enabled Echocardiography Interpretation with Multitask Deep Learning" by Gregory Holste, Evangelos K. Oikonomou, MĂĄrton Tokodi, Attila KovĂĄcs, Zhangyang Wang, & Rohan Khera

    95 stars27 forks
  97. [CIBM' 23]: A deeper and more compact split-attention U-Net for medical image segmentation

    95 stars17 forks
  98. Open-source multimodal dataset: 98K+ clinical cases & 139K+ medical images from PubMed Central

    94 stars16 forks
  99. An open-source digital pathology based rapid image annotation tool

    93 stars26 forks
  100. A 3D bounding box detection model for medical data.

    93 stars21 forks