TranslatedOpen-source AI short drama and motion comic creation tool with an infinite canvas, AI agents, storyboarding, image and video generation. Self-hosted and extensible, with a canvas-based approach similar to LibTV and TapNow. Additional details from the Chinese text: Toonflow is a tool for making short dramas and motion comics: an open-source AI video creation platform that integrates script writing, intelligent storyboarding, character and scene asset management, image generation and video generation. It combines an infinite canvas, AI Agents and visual workflows, and supports local deployment, a choice of your own models, cross-platform clients, MCP and plugin extensions.
Foundation Models for Genomics & Transcriptomics
Sharing Updatable Models (SUM) on Blockchain
Graph-linked unified embedding for single-cell multi-omics data integration
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
Reference mapping for single-cell genomics
Fusing Histology and Genomics via Deep Learning - IEEE TMI
- pathomic
- fusion
- multimodal
- pathology
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
PyTorch Connectomics: segmentation toolbox for EM connectomics
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
TranslatedA manga production tool for Codex that takes you from the source material through script, image generation, typesetting, and PDF output
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
MCP server for spatial transcriptomics analysis through natural language interfaces.