Search Results for "data modeling" - Page 12
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Showing 544 open source projects for "data modeling"
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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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apache spark data pipeline osDQ
osDQ dedicated to create apache spark based data pipeline using JSON
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. -
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xeogl
A WebGL-based 3D engine for technical visualization
xeogl is an open source JavaScript library from xeolabs for 3D model visualization on WebGL. It gives you tools to create interactive 3D worlds in your browser. Load models from formats like glTF or OBJ, or generate them programmatically. Navigate them with the camera and script them with Javascript, to build compelling 3D presentations. Load multiple models. Isolate/move/emphasize objects. Camera navigation controls. Camera animations (flyto, follow, path etc). Emphasis effects (wireframe,... -
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OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition
...Its core goal is to give researchers a flexible, modular framework for building and training encoder–decoder architectures while fully leveraging distributed and mixed-precision training. The toolkit includes ready-made models for neural machine translation, automatic speech recognition, speech synthesis, language modeling, and additional NLP tasks such as sentiment analysis. It supports multi-GPU and multi-node data-parallel training, and integrates with Horovod to scale out across large GPU clusters. Mixed-precision support (float16) is optimized for NVIDIA Volta and Turing GPUs, allowing significant speedups and memory savings without sacrificing model quality. ... -
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CFM-ID
Competitive Fragmentation Modeling for Metabolite Identification
Windows binaries and cross-platform source code for processing of EI-MS (GC-MS) and ESI-MS/MS (LC-MS) data for identification of metabolites. Includes tools for applying Competitive Fragmentation Modeling (CFM) to spectrum prediction and metabolite identification tasks, as well as a tool for fragment generation, and another for peak annotation. For further documenation see https://sourceforge.net/p/cfm-id/wiki/Home/ For related publications, and their associated supplementary data, please see https://sourceforge.net/p/cfm-id/wiki/Home/#related-publications There is also a web server supporting much of this functionality at http://cfmid.wishartlab.com For CFM3.0, please see http://cfmid3.wishartlab.com/. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Incanter
Clojure-based, R-like statistical computing and graphics environment
Incanter is a Clojure-based, R-like statistical computing and visualization library running on the JVM. It integrates core numerical libraries like Parallel Colt and JFreeChart to deliver data manipulation, modeling, statistical tests, and charting in a REPL-friendly environment. Start by visiting the Incanter website for an overview, check out the documentation page for a listing of HOW-TOs and examples, and then download either an Incanter executable or a pre-built version of the latest build of Incanter, which includes all the necessary dependencies, and unpack the file (if you would like to build it from source, read Building Incanter). ... -
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MatlabFunc
Matlab codes for feature learning
MatlabFunc is a collection of MATLAB functions developed by the ZJULearning group to support various tasks in computer vision, machine learning, and numerical computation. The repository brings together a wide range of utility scripts, algorithms, and implementations that serve as building blocks for research and development. These functions cover areas such as matrix operations, optimization, data processing, and visualization, making them broadly applicable across different research... -
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JS-Data
Give your data the treatment it deserves
JSData is a framework-agnostic, datastore-agnostic ORM for Node.js and the Browser. Adapters allow JSData to connect to various data sources such as Firebase, MySql, RethinkDB, MongoDB, localStorage, Redis, a REST API, etc. With JSData you can re-use your data modeling code between environments, keep your data layer intact when transitioning between app frameworks, and work with a unified data API on the server and the client. JSData employs conventions for rapid development, but allows for endless customization in order to meet your particular needs. -
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IVCon-TL 3D scene conversion tool
Converts between many 3D data formats
IVCon-TL can read and write a variety of 3D graphics file formats, converting from one to the other. Supported formats include 3DS, ASE, BYU, DXF, GMOD, HRC, IV, OBJ, OFF, POV, SMF, STL/STLA/STLB, TEC, TRI/TRIA/TRIB, UCD, VLA, WRL/VRML, XGL and more. -
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Convolutional Recurrent Neural Network
Convolutional Recurrent Neural Network (CRNN) for image-based sequence
Convolutional Recurrent Neural Network provides an implementation of the Convolutional Recurrent Neural Network (CRNN) architecture, a deep learning model designed for image-based sequence recognition tasks such as optical character recognition and scene text recognition. The architecture combines convolutional neural networks for extracting visual features from images with recurrent neural networks that model sequential dependencies in the extracted features. This hybrid approach allows the... -
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BioNet-Finder
Network-based modeling and analysis for complex biological data
BioNet-Finder is a network-based genomic data modeling project, supported by the Multivariate Statistics lab of the Brain and Behavioural Science Department at University of Pavia (Pavia, Italy), to share data, methods, and code for network-based analysis of complex disorders. Our goal is to provide straightforward tools for data reduction, modeling, and interpretation, avoiding common issues, including data selection, database compositional biases, topological/hierarchical organization of data, genomic complexity, latent effects on the observed system, and output ranking. ... -
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Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. ... -
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DataScienceR
a curated list of R tutorials for Data Science, NLP
The DataScienceR repository is a curated collection of tutorials, sample code, and project templates for learning data science using the R programming language. It includes an assortment of exercises, sample datasets, and instructional code that cover the core steps of a data science project: data ingestion, cleaning, exploratory analysis, modeling, evaluation, and visualization. Many of the modules demonstrate best practices in R, such as using the tidyverse, R Markdown, modular scripting, and reproducible workflows. ... -
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ImatiSTL
Fix STL files for 3D printing
ImatiSTL is a C++ library for applications that need to finely post-process raw polygon meshes represented by STL files. It is particularly useful in 3D printing scenarios: the repairing functions provided by ImatiSTL bridge the gap between printable meshes and real-world meshes with diverse potential defects and flaws (e.g. degenerate triangles, self-intersections, surface holes, ...). ImatiSTL provides both functions for local mesh repairing and methods for global remeshing. Local... -
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torch-rnn
Efficient, reusable RNNs and LSTMs for torch
The torch-rnn project is a lightweight and efficient implementation of recurrent neural networks built on the Torch framework, focusing on flexibility and reusability for sequence modeling tasks. It provides implementations of standard RNNs and long short-term memory networks, enabling users to train models for tasks such as text generation, language modeling, and sequence prediction. The repository emphasizes simplicity and performance, offering a streamlined pipeline for preprocessing data, training models, and sampling outputs. ... -
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A spring-based 3D graph layout tool written in Java. Rendering is performed in OpenGL via the JOGL library.
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Seq2seq Chatbot for Keras
This repository contains a new generative model of chatbot
This repository contains a new generative model of chatbot based on seq2seq modeling. The trained model available here used a small dataset composed of ~8K pairs of context (the last two utterances of the dialogue up to the current point) and respective response. The data were collected from dialogues of English courses online. This trained model can be fine-tuned using a closed-domain dataset to real-world applications. -
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tinyobjloader
Tiny but powerful single file wavefront obj loader
Tiny but powerful single file wavefront obj loader written in C++03. No dependency except for C++ STL. It can parse over 10M polygons with moderate memory and time. tinyobjloader is good for embedding .obj loader to your (global illumination) renderer. We recommend to use master (main) branch. Its v2.0 release candidate. Most features are now nearly robust and stable (The remaining task for release v2.0 is polishing C++ and Python API). -
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MOGEN
The software for modeling the 3D structure of a genome using Hi-C data
The software builds 3D models of chromosomes or genome given chromosomal contacts data such as Hi-C, TCC, 5C. MOGEN was tested on simulated datasets. Using real Hi-C data of a human cell line, MOGEN built models that are consistent with knowledge about the genome of the cell line. Detail on how to use it: https://github.com/BDM-Lab/MOGEN It is published in Bioinformatics: http://bioinformatics.oxfordjournals.org/content/32/9/1286 Bioinformatics, Data Mining, Machine Learning (BDM)... -
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Retrieval-Based Conversational Model
Dual LSTM Encoder for Dialog Response Generation
Retrieval-Based Conversational Model in Tensorflow is a project implementing a retrieval-based conversational model using a dual LSTM encoder architecture in TensorFlow, illustrating how neural networks can be trained to select appropriate responses from a fixed set of candidate replies rather than generate them from scratch. The core idea is to embed both the conversation context and potential replies into vector representations, then score how well each candidate fits the current dialogue,... -
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BMDExpress Data Viewer
A Visualization Tool to Analyze BMDExpress Datasets
Regulatory agencies increasingly apply benchmark dose (BMD) modeling to determine points of departure for risk assessment. BMDExpress applies BMD modeling to transcriptomic datasets to identify transcriptional BMDs. However, graphing and analytical capabilities within BMDExpress are limited, and the analysis of output files is challenging. We developed a web-based application, BMDExpress Data Viewer for visualizing and graphing BMDExpress output files. -
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openepics_model
Accelerator physics modeling framework
This project contains relational database schema, data API and service (future) for accelerator physics modeling needs. -
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Gellish - A Product Modeling Language
Formalized English (o.a.) for standardized information exchange
Formal English (Formal Dutch, etc.) are members of the Gellish family of computer interpretable languages for modeling products and processes and their properties as well as for knowledge representation, modeling of requirements and for modeling definitions. The project is intended for further development of Formal English and its Taxonomic Dictionary-Ontology. Software tools for supporting implementations are developed as a https://github.com/ project. The 2008 version of the taxonomic... -
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LorDG
3D genome reconstruction with Lorentzian objective function
LorDG is a software to build 3D chromosomes and genome model from chromosomal contact data such as Hi-C, TCC, 5C. Detail on how to use it: https://github.com/BDM-Lab/Lordg It is published in Nucleic Acids Research : http://nar.oxfordjournals.org/content/early/2016/11/29/nar.gkw1155.long Bioinformatics, Data Mining, Machine Learning (BDM) Laboratory, Jianlin Cheng, PhD Department of Computer Science University of Missouri, Columbia Email: chengji@missouri.edu -
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PMM-Lab
Predictive Microbial Modeling plug-in for KNIME
PMM-Lab is an open-source extension to the Konstanz Information Miner (KNIME). It consists of three components: • a library of KNIME nodes (called PMM-Lab), • a library of “standard” workflows • an HSQL database.to store experimental data and microbial models. Altogether these components are designed to ease and standardize the statistical analysis of experimental microbial data and the development of predictive microbial models (PMM). Users can apply PMM-Lab to proprietary or public... -
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NewRadial (INKE)
Data Visualization for the Humanities
Developed for INKE's (Implementing New Knowledge Environments) Modeling and Prototyping team, NewRadial is a web-based visualisation tool that allows users to collaboratively add a layer of annotative commentary and discussion to imported databases. It is offered as a prototype scholarly edition environment that encourages the creation and sharing of secondary scholarship relating to primary text databases and archives.
