Search Results for "construct" - Page 5
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Showing 335 open source projects for "construct"
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1
SageMaker Spark
A Spark library for Amazon SageMaker
SageMaker Spark is an open-source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting. With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale. ... -
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com-hfg
java library for XML, HTML, or SVG generation + bioinformatics classes
The com.hfg (hairyfatguy.com) library is a collection of utility classes that make it easy to construct XML, HTML, XHTML, or SVG in an object-oriented way from within your Java application or webapp. It also contains other IO utilities and bioinformatics classes for phylogenetic trees, taxonomy, and multi-chain proteins. Requires JDK1.8. -
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Classnames
A simple javascript utility for conditionally joining classNames
Classnames is a minimal JavaScript utility that helps you construct CSS class strings based on conditional logic. Instead of manually concatenating strings, developers can pass any combination of strings, arrays, or objects, and the library will output a clean, space-separated class list. When you provide an object, the keys represent class names and the boolean values determine whether each class should be included in the final string. -
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RAGs
Build ChatGPT over your data, all with natural language
RAGs is an open-source application designed to simplify the creation of retrieval-augmented generation pipelines through an interactive interface. Built with Streamlit and powered by the LlamaIndex ecosystem, the tool allows users to construct AI assistants that answer questions using their own data sources. Instead of requiring extensive programming knowledge, the application allows users to configure and build a RAG system using natural language instructions. The system automatically generates pipeline configurations that control how documents are retrieved, processed, and summarized before being used by a language model to generate responses. ... -
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ccgsl
Use Gnu Scientific Library as if it were writtem in C++.
The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions. -
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Tiler
Build images with images
Tiler is an open-source tool that creates complex images by assembling many smaller images or shapes into a mosaic-style composition. Unlike traditional mosaic generators that rely on simple square grids, Tiler supports tiles with multiple shapes and sizes, allowing far more creative and flexible visual patterns. The software analyzes a target image and reconstructs it using a collection of smaller tile images or shapes that collectively approximate the original picture. This approach... -
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MMAction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
...MMAction2 is an open-source toolbox for video understanding based on PyTorch. It is a part of the OpenMMLab project. Modular design: We decompose a video understanding framework into different components. One can easily construct a customized video understanding framework by combining different modules. Support four major video understanding tasks: MMAction2 implements various algorithms for multiple video understanding tasks, including action recognition, action localization, Spatio-temporal action detection, and skeleton-based action detection. We support 27 different algorithms and 20 different datasets for the four major tasks. ... -
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ffmpeg-go
Golang binding for ffmpeg
ffmpeg-go is a Go language binding for FFmpeg that allows developers to construct and execute complex multimedia processing pipelines using a fluent and programmatic API. It acts as a wrapper around FFmpeg command-line functionality, translating chained function calls into executable FFmpeg commands. The library enables tasks such as transcoding, cutting, filtering, and streaming media while maintaining a clean and readable syntax. -
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MMOCR
OpenMMLab Text Detection, Recognition and Understanding Toolbox
...The modular design of MMOCR enables users to define their own optimizers, data preprocessors, and model components such as backbones, necks and heads as well as losses. Please refer to Getting Started for how to construct a customized model. The toolbox provides a comprehensive set of utilities which can help users assess the performance of models. It includes visualizers which allow visualization of images, ground truths as well as predicted bounding boxes, and a validation tool for evaluating checkpoints. -
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GraphQL in Go
An implementation of GraphQL for Go / Golang
An implementation of GraphQL in Go. Supports queries, mutations & subscriptions. Middleware to handle GraphQL queries through HTTP requests. Lib to construct a graphql-go server supporting react-relay. Barebones starting point for a Relay application with Golang GraphQL server. DataLoader implementation in Go. -
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EvidentialGene
Evidence Directed Gene Construction for Eukaryotes
EvidentialGene is a genome informatics project, "Evidence Directed Gene Construction for Eukaryotes", to construct high quality, accurate gene sets for animals and plants, developed by Don Gilbert at Indiana University, see http://arthropods.eugenes.org/EvidentialGene/ Construction refers to the combination of classical gene prediction, and more recent gene assembly (de-novo and genome-assisted) methods. The basic Evigene methods involve using available best-of-breed gene prediction and assembly software, combining all evidence for genes, from expressed sequences, genome assembly sequences, related species protein sequences, and any other, to annotate and score gene constructions. ... -
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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model bias or misinterpretation, and how to adapt prompts for different AI capabilities. ... -
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RenderPass
Easily construct fragment shader graphs
A shader can further process the outputs of zero, one or more input images, which in turn can be the result of previous render passes/ -
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OK
Welcome to the future of programming languages
OK? is a modern, dynamically typed programming language created with a strong opinion: to remove needless complexity and help programmers write code that matters. It eliminates many common language features (e.g., ternary operators) in favour of a consistent, minimal syntax: for example it uses only switch statements for control flow and has only one comparison operator. OK? also treats errors as plain values (strings/arrays) and removes inheritance in favour of what it calls “evolution over... -
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MMTracking
OpenMMLab Video Perception Toolbox
...We are the first open-source toolbox that unifies versatile video perception tasks include video object detection, multiple object tracking, single object tracking and video instance segmentation. We decompose the video perception framework into different components and one can easily construct a customized method by combining different modules. MMTracking interacts with other OpenMMLab projects. It is built upon MMDetection that we can capitalize any detector only through modifying the configs. All operations run on GPUs. The training and inference speeds are faster than or comparable to other implementations. We reproduce state-of-the-art models and some of them even outperform the official implementations. -
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RESP.app GUI for Redis
Graphical Redis database management tool
...Troubleshoot any issues with our slow log inspection, command profiler, database analyzer, and more. Make app development easier with syntax highlighting and schema-aware auto-completion. You can even use Redis Copilot to construct search queries in natural language to provide context-aware assistance tailored to your data. -
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WaveTrain (Python)
Quantum dynamics of chain-like systems using tensor train formats
...WaveTrain builds on the Python tensor train toolbox scikit_tt, which provides efficient construction methods, storage schemes, as well as solvers for eigenvalue problems and linear differential equations in the TT format. WaveTrain comprises solvers for time-independent and time-dependent Schrödinger equations employing TT decompositions to construct low-rank representations. Often, the TT ranks of state vectors are found to depend only marginally on the chain length N, which results in the computational effort growing only slightly more than linearly in N, thus mitigating the curse of dimensionality. -
18
CoolingPower
Print Steam Tables; Plot diagrams and cycles from equations of state
...A couple of bugs have been discovered that severely affect the calculation accuracy. While I troubleshoot, use at your own risk. Once completed, CoolingPower will have the capability to plot diagrams of thermodynamic properties, construct Steam Tables, and plot thermodynamic cycles. Initial fluid will be water/steam, but functionality will extend to include a variety of working fluids. CoolingPower operates in GUI format and, for Unix-based machines, from the terminal. Fluid state properties and Steam Tables can be printed to the screen or to file. Compiling and execution utilizes the GNU Scientific Library derivative functions and the Boost.signals2 and Boost.bind libraries. ... -
19
mlr
Machine Learning in R
...The framework provides supervised methods like classification, regression, and survival analysis along with their corresponding evaluation and optimization methods, as well as unsupervised methods like clustering. It is written in a way that you can extend it yourself or deviate from the implemented convenience methods and construct your own complex experiments or algorithms. -
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Glicol
Graph-oriented live coding language and music/audio DSP library
Glicol is a graph-oriented live coding language and audio engine designed for real-time music creation and digital signal processing, written entirely in Rust. It introduces a unique paradigm where audio synthesis and sequencing are represented as interconnected nodes, allowing developers and musicians to construct complex sound pipelines through declarative code. The language is designed to be accessible to beginners while still offering powerful capabilities for advanced users, enabling both quick experimentation and precise control over audio generation. Glicol’s engine operates without garbage collection and is optimized for real-time performance, achieving sample-accurate audio synthesis across multiple platforms. ... -
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MolMarker
Java software to evaluate the results obtained by molecular markers
...:-) MolMarker is user-friendly software to help evaluate the research results obtained by molecular markers. The software can handle genetic (e.g. SSR) and biochemical (e.g. isozyme) data, can construct similarity matrices and UPGMA or NJ dendograms. It can calculate the frequencies of null alleles in the case of genetic data as well as H (heterosigosity) and PIC (polymorphic Information Content) values. Parentage analyses gives a list of possible parent-offspring combinations, and likelihood ratio statistics corresponding to the detected combinations. ... -
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MS-Helios
MS-Helios: A Circos wrapper to visualize multi-omic datasets
...However, the CPM construction requires prior data transformation and extensive knowledge of the Perl-based tool, Circos. We present MS-Helios, an easy to use command line tool with multiple built-in data processing functions, allowing non-expert users to construct CPMs or in general terms circular plots with a non-genomic basis. MS-Helios automatically generates data and configuration files to create high quality and publishable circular plots with Circos. -
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PyTTI-Notebook
PyTTI-Notebook
Recent advances in machine learning have created opportunities for “AI” technologies to assist unlocking creativity in powerful ways. PyTTI is a toolkit that facilitates image generation, animation, and manipulation using processes that could be thought of as a human artist collaborating with AI assistants. The underlying technology is complex, but you don’t need to be a deep learning expert or even know coding of any kind to use these tools. Understanding the underlying technology can be... -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related... -
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Data Structures and Algorithms in JS
Data Structures and Algorithms explained and implemented in JavaScript
Are you a JavaScript developer looking to improve your craft? Then, this algorithms book is for you. This material contains the fundamental concepts to move your career to the next level. You will be able to solve problems faster in your day-to-day work and ace technical job interviews. Simply put, algorithms are several steps to solve a specific problem (e.g., sort number, search value, transform data, etc.). Algorithms are an essential toolbox for every programmer. Even if you don't...