ValueCell is a community-driven, multi-agent platform for financial applications.
- agentic-ai
- agents
- ai
- assitant
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ValueCell is a community-driven, multi-agent platform for financial applications.
Your Gateway to Embedded Software Development Excellence :alien:
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Deep probabilistic analysis of single-cell and spatial omics data
StarDist - Object Detection with Star-convex Shapes
An open-source application for biological image analysis
Spatial Single Cell Analysis in Python
A tool for semi-automatic cell type classification
Graph-linked unified embedding for single-cell multi-omics data integration
Deep Learning Library for Single Cell Analysis
cell detection in calcium imaging recordings
aiomisc - miscellaneous utils for asyncio
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
UCE is a zero-shot foundation model for single-cell gene expression data
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
OPEM (Open Source PEM Fuel Cell Simulation Tool)
Automated 3D cell detection in very large images
Codebase for "A Foundation Model for Cell Segmentation"
Cell tracking and segmentation software
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
manim cell magic for IPython/Jupyter to show the output video
Open-source software for exploring and analyzing large, high-dimensional image-derived data.