Search Results for "compute" - Page 4
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Showing 122 open source projects for "compute"
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
...If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies easy on-boarding for their team members, freeing them up from complex systems admin and security processes. Administrators control data access and resource provisioning for their users. Notebook Instances are another option. They have the familiar Jupyter and JuypterLab interfaces that work well for single users, or small teams where users are also administrators. ... -
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progrep
Utility to show live progress, status & stats for running simulations
progrep is a command-line tool (Linux) to show live progress report, status & stats of a running simulation or compute job that executes a given number of iterations. It shows % completed, time remaining, time elapsed, number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
...Though archived, it remains a key reference for efficient transformer research, influencing many later architectures that aim to extend sequence length while reducing compute. -
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PerfKit Benchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks
...It simplifies the process of running complex benchmarks by providing unified command-line workflows that handle resource provisioning, execution, and result collection. The framework includes a comprehensive set of predefined benchmarks covering areas such as compute, storage, networking, and distributed systems workloads. It is widely used by researchers, engineers, and organizations to evaluate cloud architectures and make informed infrastructure decisions. -
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Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so parameter updates can be treated as differentiable operations. ... -
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AdaNet
Fast and flexible AutoML with learning guarantees
AdaNet is a TensorFlow framework for fast and flexible AutoML with learning guarantees. AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture but also for learning to the ensemble to obtain even better models. At each... -
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java-string-similarity
Implementation of various string similarity and distance algorithms
...A dozen of algorithms (including Levenshtein edit distance and sibblings, Jaro-Winkler, Longest Common Subsequence, cosine similarity etc.) are currently implemented. The main characteristics of each implemented algorithm are presented below. The "cost" column gives an estimation of the computational cost to compute the similarity between two strings of length m and n respectively. If the alphabet is finite, it is possible to use the method of four russians (Arlazarov et al. "On economic construction of the transitive closure of a directed graph", 1970) to speedup computation. This was published by Masek in 1980 ("A Faster Algorithm Computing String Edit Distances"). -
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GraalVM
Run programs faster anywhere
...Compile applications into small self-contained native binaries. Seamlessly use multiple languages and libraries. Advanced optimizing compiler that generates fast lean code which requires fewer compute resources. Native binaries start up instantly and deliver peak performance with no warm up time. Leverage the best features and libraries of popular languages in a single app with no overhead. Debug, monitor, profile, and optimize resource consumption in Java and across multiple languages. Enterprise version provides all Community features along with higher performance and enhanced security. ... -
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The Fission CL
Command-line interface for Fission
The Fission CLI is now part of the main fission-suite/fission repo. We construct identity, data, and compute solutions for the future of the Internet. Users want data ownership and privacy without compromising on a seamless experience. You want to build a resilient application that is fast, cost-effective, and efficient. We build local-first and edge computing tools that make all of this possible. Fission builds open source protocols and managed solutions that empower developers to construct humane software applications. -
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Synthclipse
GLSL shader prototyping tool based on Eclipse IDE.
Synthclipse is a GLSL shader prototyping tool. It makes possible to fast develop all kinds of shaders: Fragment (FS), Vertex (VS), Geometry (GS), Tessellation (TS) and Compute (CS). Shader development can be done using, compatible with Fragmentarium and Shadertoy (but limited to FS and VS), Fragx shaders or by using fully featured JavaScript JSX scripts. The JSX API is consistent with WebGL but in fact exposes complete OpenGL 4+ API. To install Synthclipse one can download prepacked Eclipse with Synthclipse feature (see "Files" section above) or update an existing Eclipse using the following Update Site: https://kamil-kolaczynski.github.io/synthclipse/update/ Prepacked version has one advantage: it has nice console logs coloring since it shipped with Grep Console plugin ( https://marketplace.eclipse.org/content/grep-console ) that is configured specially for Synthclipse logs. -
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Kalibr Allan
IMU Allan standard deviation charts
...While manufacturers typically provide “white noise” values in IMU datasheets, the bias instability and random walk parameters must be determined experimentally. This project enables users to compute those values using Allan variance analysis from recorded IMU data. The workflow involves recording IMU measurements with the device stationary, converting ROS bag files into MATLAB-compatible formats, and then running MATLAB scripts to generate Allan deviation plots. These plots are analyzed to determine noise density and random walk parameters for both gyroscopes and accelerometers. ... -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
...Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance. -
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properties
another c#-like property accessor for c++11 and above.
A property is a member that provides a flexible mechanism to read, write, or compute the value of a private field. Properties can be used as if they are public data members, but they are actually special methods called accessors. This enables data to be accessed easily and still helps promote the safety and flexibility of methods. * Github repository : https://github.com/gammasoft71/properties * Homepage : https://gammasoft71.wixsite.com/properties * Reference guide : https://codedocs.xyz/gammasoft71/properties/ * Examples : https://github.com/gammasoft71/properties/tree/master/examples -
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IPS Framework
A simple Python framework for loosely-coupled multiphysics simulations
...One of the novel features of the IPS framework is its ability to support parallelism at multiple levels: components can launch individual parallel tasks, and also launch multiple tasks concurrently. The framework can execute multiple components concurrently, and even multiple simulations, all within the same pool of compute nodes. -
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aframe-react
Build virtual reality experiences with A-Frame and React
...React wastes a lot of cycles and incurs a lot of memory garbage. aframe-react is often abused where it is too easy to place 3D/real-time logic at the React layer, causing poor performance (e.g., doing React renders on ticks). aframe-react applications frequently ignore the prescribed ECS framework of A-Frame. Internally, React does tons of computation to compute what changed, and flushes it to the entire application. It is apparent React ecosystem does not care much about memory as most examples allocate functions and objects in the render method, and where immutables are popular. -
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SoftPixel Engine
Realtime 3D engine for game development
The SoftPixel Engine is an OpenSource high level realtime 3D engine for C++ (GNU C++ & VisualC++). It supports Direct3D11, Direct3D9, OpenGL 1.1 - 4.1, OpenGL|ES 1.1 and OpenGL|ES 2.0 and runs on Windows, Linux, Android and iOS. -
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WorkingWiki is a MediaWiki extension that makes a wiki into a source-code repository, IDE, and compute server. It has special support for LaTeX projects, including sophisticated translation to HTML for display within the wiki page.
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tracking.js
A modern approach for Computer Vision on the web
The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The... -
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cloc (Count Lines Of Code) counts, and computes differences of, comment lines, blank lines, and physical lines of source code in many programming languages. cloc is now being developed at https://github.com/AlDanial/cloc
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Javascript-Voronoi
JS implementation of Fortune's algorithm to compute Voronoi cells
This repository implements Steven Fortune’s algorithm (sweep-line method) for generating Voronoi diagrams in JavaScript, providing a performant browser-side solution for computational geometry of planar point sets. With this library you can feed a set of sites (points) and compute their Voronoi cells – the partition of the plane into regions closest to each site – in O(n log n) time. It’s especially useful in web UIs, visualizations, interactive maps, and generative-art contexts where you need dynamic tessellations or diagrammatic layouts. The library exposes API functions for computing cells, retrieving neighbors, and drawing results into canvas or SVG. ... -
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pure python polyfit
python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries
python2/3: compute polyfit (1D, 2D, N-D) without any thirdparty library like numpy, scipy etc. also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI -
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DR14 T.meter
Compute the DR14 of a given audio file according to the procedure desc
Introduction to DR14 T.meter DR14 T.meter is a free and opens source command line tool for computing the Dynamic Range of your music according to the procedure used in the off-line meter released by the Pleasurize Music Foundation. This tool is very useful to measure how is loud your music and for understanding that a good quality album always has also a good dynamic, and it's also useful for understanding the effects of the so called loudness war. Dr14 t.meter is released under the... -
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JCycles
[frozen] A library for computing cycles in graphs or in Java code.
[This project is frozen, but has an offspring with more features: https://github.com/jeffhain/jadecy ] JCycles provides treatments to compute cycles, or just strongly connected components, in directed graphs in general, or in classes or packages dependencies graphs parsed from class files (major version <= 51, else does best effort). It uses Tarjan's algorithm for SCCs, and Johnson's for cycles, with continuations instead of recursion, which allows to handle large graphs (< Integer.MAX_VALUE vertices). ... -
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IterInt is a numerical integration package that implements iterated numerical integration methods. Iterated methods can be used to compute low dimensional (less than ten, for example) integration problems to get very accurate results.
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Mpaxs
Transparent Local and Remote Parallelization for Java
Mpaxs provides a simple abstraction for executing Callables and Runnables either locally within the same Virtual Machine, on the same host via RMI, or on remote machines, also via RMI. It supports launching of new compute hosts via an extensible API, currently featuring local compute host launching and grid compute host launching using the DRMAA API.
