Search Results for "compute" - Page 12
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Showing 646 open source projects for "compute"
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...https://simpligility.github.io/ksoap2-android/index.html Note that app-debug-update-1.apk points to Microsoft Azure Cloud and app-debug-update-2.apk points to OpenShift Online so there is no need to deploy backend for testing purpose app-debug-update-3.apk points to OpenShift Online (us-west-2) app-debug-update-4.apk points to Google Compute Engine app-debug-update-5.apk points to Google Compute Engine (us-central1-a) app-debug-update-6.apk points to Google Compute Engine (us-central1-a) app-debug-update-7.apk points to 192.168.0.33 app-debug-update-8.apk added persistence app-debug-update-9.apk refactoring app-debug-update-10.apk update to ksoap2 3.6.4
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IRBEM-LIB
Project has moved to github https://github.com/PRBEM
*************************************************************** ********** IRBEM-LIB WAS MOVED TO GITHUB ********** ********** https://github.com/PRBEM ********************* *************************************************************** IRBEM-LIB provides routines to compute magnetic coordinates for any location in the Earth's magnetic field, to perform coordinate conversions, to evaluate geophysics/space-physics models, and to propagate orbits in time. -
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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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gostsum for Windows
OpenSSL utility to compute GOST/Streebog hashes
This package contain utilities to compute GOST hashsums: gostsum - computes GOST R 34.11-94 hash. gost12sum - computes GOST R 34.11-2012 hash. Written by Cryptocom LTD. See also: https://sourceforge.net/projects/openssl-for-windows/ Visit: http://albanese.atwebpages.com -
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Jupytab
Display in Tableau data from Jupyter notebooks
Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab. -
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MPI-dot2dot
A Parallel Tool to Find DNA Tandem Repeats on Multicore Clusters
MPI-dot2dot is a parallel tool to accelerate the identification of Tandem Repeats on multisequence datasetes. This tool receives as input a multisequence file with FASTQ or FASTA formats. It uses MPI processes and OpenMP threads to exploit the compute capabilities of multicore clusters. -
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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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A simple tool to compute extent of spatial overlap associated with electronic transitions based on natural transition orbitals (NTOs)
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Kubernetes The Hard Way
Bootstrap Kubernetes the hard way
Kubernetes The Hard Way is a hands-on guide to building a Kubernetes cluster from the ground up without using automation tools—no managed services, no scripts to hide the details. It walks you through every component: provisioning compute resources, generating TLS certificates, configuring etcd, bootstrapping the control plane, joining worker nodes, setting networking, and verifying everything works. The purpose is educational: by doing each step manually, you gain deep insight into how Kubernetes works under the hood—control plane components, kube-configs, networking, encryption, etc. ... -
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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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uTensor
TinyML AI inference library
uTensor is an embedded machine learning inference framework designed to run neural network models on resource-constrained devices such as microcontrollers and Internet-of-Things hardware. The project focuses on enabling TinyML deployments by translating trained machine learning models into efficient C++ code that can execute directly on embedded systems. Instead of training models on-device, the framework uses an offline workflow that converts trained TensorFlow graphs into optimized... -
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go-matrix
First version of go-MATRIX, especially for TPS optimization and AI
First version of go-MATRIX, especially for TPS optimization and AI. In the current version, mining nodes that are elected but fail to report their base compute will get blacklisted and lose all rewards for that round. The new patch will raise the penalty for backlisted mining nodes. If blacklisted, your node is also unable to become a candidate mining Masternode for the next election cycle. Difficulty level drops when a new validation leader is elected. If there is a new validation leader in one mining cycle (the time for generating 3 blocks), this mining cycle will take longer to finish, and difficulty for mining the following block will lower down. ... -
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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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Think Bayes
Code repository for Think Bayes
...The project includes code examples, scripts, and environments that correspond to the chapters of the book. Learners can run the code, experiment with probability distributions, compute posterior probabilities, and understand Bayesian updating via simulation and algorithmic methods. The book and code encourage thinking in terms of discrete approximations (sums over distributions) rather than continuous integrals, making it more accessible to many programmers. Over time, the repository has been updated (including a second edition version) to reflect improved practices, corrections, and modern Python tooling. -
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VCTRenderer
A real time global illumination solution that achieves glossy surfaces
VCTRenderer is a real-time global illumination renderer built in C++ using Vulkan, leveraging voxel cone tracing (VCT) to achieve dynamic lighting, soft shadows, and indirect illumination. The renderer demonstrates cutting-edge rendering techniques aimed at achieving realistic lighting effects without precomputed data, making it ideal for games and interactive applications that need real-time performance with physically plausible lighting. It provides a clean implementation of voxelization... -
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Data Science at the Command Line
Data science at the command line
Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful... -
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distlink
Library to compute distance between elliptic orbits (MOID)
This C++ library allows to compute the Minimal Orbital Intersection Distance (MOID) between two elliptic confocal orbits using the method by Kholshevnikov & Vassiliev (1999), Cel. Mech. Dyn. Astr., 75, 75. The implementation of the method is described in (Baluev & Mikryukov 2019), Astronomy & Computing, 27, 11. It employs numeric error control and deals carefully with nearly degenerate cases (like almost circular and almost coplanar orbits). -
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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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Working Days Calculator
A small calculator to leave out holidays in a period of time
Working Days Calculator is a Windows desktop tool that calculates the number of working days between two dates in Belgium or the Netherlands, leaving out Sundays and holidays. The tool also provides the possibility to compute the total cost of the result. So you don't need to open a seperate calculator to compute it. It's primarily intended for people working in the newspaper industry, as most newspapers are printed on a daily basis, except on Sundays or official holidays. The size of the program is comparable to that of Calculator, included in all versions of Windows. ... -
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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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Mean and MPS Calc
Compute your mean and mps easily.
This application is useful in computing the mean and mps of any examination in the K-12 program. You can print your output for a hard copy and consolidation purpose. This application is free. -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
PyTorch-BigGraph (PBG) is a system for learning embeddings on massive graphs—think billions of nodes and edges—using partitioning and distributed training to keep memory and compute tractable. It shards entities into partitions and buckets edges so that each training pass only touches a small slice of parameters, which drastically reduces peak RAM and enables horizontal scaling across machines. PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions, negative sampling strategies, and typed entities, making it suitable for link prediction and retrieval. ...
