55 Open source projects that are alternatives of or similar to dingo

StochPy is a versatile stochastic modeling package which is designed for stochastic simulation of molecular control networks

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The consensus GEM for Saccharomyces cerevisiae

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PathwayMapper: An interactive and collaborative graphical curation tool for cancer pathways

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A web application to visualize and edit the pathway models represented by SBGN Process Description Notation

📖 Generation and Applications of Knowledge Graphs in Systems and Networks Biology

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

[NOT MAINTAINED] A D3js library for drawing polytopes, angles, coordinates, geometries and more.

Geometric operations on polytopes of any dimension

Seidel's LP Algorithm: Linear-Complexity Linear Programming for Small-Dimensional Variables

Minimal package for operations on polytopes, zonotopes, and invariant sets.

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R Package for Quota Sampling on Facebook

Linux OTF2 Sampling - A Lightweight Node-Level Performance Monitoring Tool

Pew Research Center Methods team R package of miscellaneous functions

Select, weight and analyze complex sample data

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Inverse binomial sampling for efficient log-likelihood estimation of simulator models

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Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Sampling nuclear data and uncertainty

R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data

Postgres extension to sample statements or transactions to logs

Poisson disk sampling in arbitrary dimensions

An interactive demo application for the algorithm proposed in our SIGGRAPH Asia 2017 technical paper.

A distributed graph deep learning framework.

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