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Showing 32 open source projects for "problem a"
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1
Mathematics Dataset
This dataset code generates mathematical question and answer pairs
...It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear logic and reproducibility. The dataset enables models to learn mathematical problem-solving through examples that involve both numeric and symbolic reasoning. Version 1.0 includes over 2 million examples per category, with training splits labeled as “easy,” “medium,” and “hard,” supporting curriculum-based learning strategies. The data can be accessed via PyPI or generated locally using provided Python scripts, with outputs formatted for direct use in training or evaluation pipelines. -
2
Fosite - advection problem solver
numerical simulation code for solving transport equations in 1D/2D/3D
Fosite is a generic framework for the numerical solution of hyperbolic conservation laws in generalized orthogonal coordinates. Its main purpose is the simulation of compressible flows in accretion disks. The underlying numerical solution method belongs to the family of unsplit conservative finite volume TVD schemes. The method is 2nd order accurate in space and uses high order Runge-Kutta and multistep schemes for time evolution. In addition to the pure advection code several source terms... -
3
xLaDe
A Lean 4 Ecosystem Framework!
...It is an ecosystem-level tool, which records the toolchain and other metadata of projects and allows the reconstruction and rebuilding of that exact environment later. Lean 4 undergoes rapid development, which can introduce backward-compatibility issues. This problem becomes more difficult as the versions accumulate over time. xLaDe is built to mitigate the practical issues of backward-compatibility problems and improve ecosystem-level tooling for the Lean 4 theorem prover. Instead of directly solving backward-compatibility issues by storing every version of Lean 4 and other tools or providing cross-version compatibility, xLaDe tries to store sufficient environment metadata such as toolchains, dependencies, and other context, and then recreates the environment for running Lean 4 projects upon request, also termed as experiments in xLaDe. -
4
Digraph3
A collection of python3 modules for Algorithmic Decision Theory
...Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs, outranking digraphs and performance tableaux. There is also a tutorial provided on undirected graphs. Some tutorials are problem oriented and show how to compute the winner of an election, how to build a best choice recommendation, or how to linearly rank or rate with multiple incommensurable performance criteria. Other tutorials concern more specifically operational aspects of computing maximal independent sets (MISs) and kernels in graphs and digraphs. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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5
RSM
Radiation Spectrum Method : a modal BPM (Beam Propagation Method)
RSM (Radiation Spectrum Method) is a 2D rigorous tool to solve the Maxwell equations for the propagation of light in integrated optics or photonics devices. It makes use of an EigenMode Expansion method (EME) to solve the electromagnetic problem. This software running on Windows and MacOS comes with a GUI that permits to define with the aid of files or scripts the arbitrary and complex geometry of the waveguide. Of that way any waveguide geometry can be handled. Several plots are available : refractive index plot, field propagation plot and modes spectrum plot. This permits, with the interpretation of the guided and radiation modes spectrum, a physical understanding of the propagation mechanisms in the integrated optical device under evaluation. ... -
6
Advanced Trigonometry Calculator
Open-source C/C++ math engine for advanced scientific computing
...Created in 2011 and maintained by Renato Alexandre dos Santos Freitas, ATC is designed as a practical Windows desktop application for advanced calculations, automation, and technical problem solving. ATC supports equation solving, polynomial tools, complex numbers, matrix calculations, statistics, physics, geometry, unit conversions, DSP/FFT operations, and scripting. It can also process batch TXT files, making it useful for repeatable calculations and automated workflows. The project also includes ATC Online Alpha, a WebAssembly-based version that brings parts of the ATC engine to the web. ... -
7
OmicSelector
Feature selection and deep learning modeling for omic biomarker study
OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant diagnostic potential (based on the results of miRNA-seq, for validation in qPCR experiments). -
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3d Linear Transformation Visualization
Visualize 3d linear transformations.
A linear transformation is a function from one vector space to another that respects the linear structure of each vector space. For visualizing this we can transform a vector, but it has an obvious problem, because the linear transformation transform the whole space, not just the vector, in other words it transforms the basis vectors thus every vector in the space gets transformed too. That's why i created this app so everyone can see how a transformation matrix change the whole space. -
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Python/FEniCS Examples
phase-field simulation and other examples with Python/FEniCS
The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model. -
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CRP - Chemical Reaction Prediction
Predicting Organic Reactions using Neural Networks.
The intend is to solve the forward-reaction prediction problem, where the reactants are known and the interest is in generating the reaction products using Deep learning. This Graphical User Interface takes simplified molecular-input line-entry system (SMILES) as an input and generates the product SMILE & molecule. Beam search is used in Version 2, to generate top 5 predictions. Maximum input length for the model is 15 (excluding spaces). -
11
Awesome Math
This is the Curriculum for "How to Learn Mathematics Fast"
This repository is a curated roadmap for learning the core mathematics used in computer science, machine learning, and data science without getting lost in unnecessary detours. It organizes topics like algebra, calculus, linear algebra, probability, and statistics into a pragmatic sequence that favors intuition and problem-solving over purely formal proofs. The materials emphasize short, high-leverage resources—video lectures, concise notes, and hands-on exercises—that help you build momentum quickly. It also suggests checkpoints and practice ideas so you can test comprehension and move forward with confidence. The structure is useful both for newcomers who want a starting plan and for practitioners filling specific gaps before tackling ML or deep learning. ... -
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Composight is a cross-platform toolkit for 3D-image processing in the domain of composite materials science. It is written in C++ and provides small, problem-specific applications for viewing, filtering and segmentation of volumetric data such as micro-CT scans. The main objective is not to provide yet another complex application for volume data visualization and medical image processing. Instead, Composight is a collection of small and simple apps that have already been successfully used to solve various problems in materials science.
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13
QSdpR
Viral Quasispecies Reconstruction software based on QSdpR algorithm
This is a viral quasispecies reconstruction software for quasispecies assembly problem on mRNA viruses, which is based on a correlation clustering approach and uses semidefinite optimization framework. The software accepts a reference genome, a NGS read set aligned to this reference and set of SNP locations in the form of a vcf file and outputs an optimal set of reconstructed species genomes which describes the underlying viral population. -
14
Template Code Set for JModelica
This is a template Python code set to use JModelica easily.
This is a template Python code set which makes it easy to use JModelica to solve optimal control problem. The template includes a sample model definition file (opt_definition.mop) and a .bat file (run_me.bat) to start its calculation. After download the template, immediately you can run JModelica by only double-clicking run_me.bat file, and obtain the optimization result. Please go to the page given below for the information of how to start to use this and its details. -
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ExSTraCS
Extended Supervised Tracking and Classifying System
...Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ExSTraCS was primarily developed to address problems in epidemiological data mining to identify complex patterns relating predictive attributes in noisy datasets to disease phenotypes of interest. ExSTraCS combines a number of recent advancements into a single algorithmic platform. It can flexibly handle (1) discrete or continuous attributes, (2) missing data, (3) balanced or imbalanced datasets, and (4) binary or many classes. ... -
16
Automatic Compound Processing (AuCoPro)
Automatic compound splitting and semantic analysis of compounds
The central problem to be addressed in this project concerns a multidisciplinary (linguistics and computational linguistics) investigation into sharing of knowledge and resources between closely-related languages, specifically relating to the automatic processing of compounds. Specifically, we will explore the possibility to create new knowledge about closely-related languages, and efficiently develop additional, more advanced resources for (a) compound segmentation; and (b) the semantic analysis of compounds; as such, the project will be divided into two interrelated subprojects, to be executed simultaneously. ... -
17
RASPnmr
Protein NMR backbone resonance assignment
RASP uses structure-based chemical shift predictions to solve the backbone resonance assignment problem in protein NMR spectroscopy. This enables rapid determination of highly accurate assignments on the basis of minimal experimental datasets, even for spectroscopically challenging proteins. RASP takes as input spin systems assembled on the basis of an arbitrary set of conventional triple-resonance NMR experiments. Uniquely, RASP is capable of extensive assignments even in the abscence of Cbeta chemical shift information: over a test set of 154 proteins RASP assigns 88 % of residues with an accuracy of 99.7 %, using only information available from HNCO and HNCA spectra. ... -
18
ARDEN
Specificity Control for Read Alignments Using an Artificial Reference
...It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation. -
19
caseGen
... [BATCH], [ANALYZE] and [OPTIMIZE] cases in OpenFOAM and others
'caseGen' allows you to simplify your numerical simulation problem! Actual its not fairly tested so please contact me if you see any refinements or found bugs. -
20
Arachne
Exploration of a Hierarchical+Functional Approach To Data Organization
...The core of the project is in the class definitions contained within arachne.py, a demonstration of how this method of arranging data can be used to solve a relatively interesting problem may be found in test.py -
21
Pysimony
A Pythonic Implementation of Parsimony Inference of Phylogeny
...An unlikely-to-be-the-most-parsimonious tree is printed upon completion in basic Newick tree format. As all parts of the program are the original work of a beginner programmer, this may represent one of the worst approaches to solving the phylogenetic problem. I have clearly avoided object-oriented programming. Nevertheless, I distribute this imagining it might someday be slightly educational or at least provide a laugh at the pathetic attempt it makes to reinvent the wheel -
22
pyBioImage
Biological Imaging Software suite
The pyBioImage is a python a python based biological imaging suite tailored to the problem of finding Germinal Center "spots" within multidimensional microscopy images as it is described in the research paper: "Software tool for 3D extraction of germinal centers", by David N. Olivieri, Merly Escalona and Jose Faro. -
23
Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
...The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates. -
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In knight tour (kt) problem every chess square is visited exactly once using knight moves. In this game some knight moves already made and we have an incomplete kt. The object is to complete the kt by guessing missing moves.
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This algorithm written in Python solves at least a subset of the Hamilton Circuit problem, which is NP complete, in n^3 time.
