Search Results for "computations" - Page 4
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Showing 204 open source projects for "computations"
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3Depict
atom probe software : visualisation and data analysis
This software is designed to help users visualize and analyze 3D point clouds with an associated real value, in a fast and flexible fashion. The primary use is in Atom Probe Tomography, which is an atomic imaging technique. However the program may also be useful in other areas, such as geospatial data, lidar, etc. -
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Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
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Omatsuri
PWA with 12 open source frontend focused tools
...It was built with strong respect to your privacy – you will never see ads and it does not include analytics services (or actually any services at all). You are highly encouraged to explore source code and use it in your projects. Fast non-blocking computations with web workers. No tracking, no ads, no other server connections – everything runs in browser only. Full offline support. Dark theme support. All-in-one application for everyday tasks. -
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SRU
Training RNNs as Fast as CNNs
Common recurrent neural architectures scale poorly due to the intrinsic difficulty in parallelizing their state computations. In this work, we propose the Simple Recurrent Unit (SRU), a light recurrent unit that balances model capacity and scalability. SRU is designed to provide expressive recurrence, enable highly parallelized implementation, and comes with careful initialization to facilitate the training of deep models. We demonstrate the effectiveness of SRU on multiple NLP tasks. ... -
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Couler
Unified Interface for Constructing and Managing Workflows
Couler is a system designed for unified machine learning workflow optimization in the cloud. Couler endeavors to provide a unified interface for constructing and optimizing workflows across various workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. Couler enhances workflow efficiency through features like Autonomous Workflow Construction, Automatic Artifact Caching Mechanisms, Big Workflow Auto Parallelism Optimization, and Automatic Hyperparameters Tuning. -
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Ultra Runner
Ultra fast monorepo script runner and build tool
Ultra Runner is a high-performance task runner for monorepos. It optimizes package execution, dependency management, and caching to improve speed and efficiency when running scripts across multiple projects. -
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Accelerate
Embedded language for high-performance array computations
Data.Array.Accelerate defines an embedded language of array computations for high-performance computing in Haskell. Computations on multi-dimensional, regular arrays are expressed in the form of parameterized collective operations (such as maps, reductions, and permutations). These computations are online-compiled and executed on a range of architectures. Accelerate is a free, general-purpose, open-source library that simplifies the process of developing software that targets massively parallel architectures including multicore CPUs and GPUs. ... -
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jags-zibg
Zero-inflated bivariate geometric distributions in JAGS
The JAGS ZIBGeometric module extends JAGS by providing a zero-inflated bivariate geometric distribution class. Currently, it only supports probability mass computations in posterior parameter distribution estimation. -
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Traffic
Intersection is a OFA implementation modeling a traffic intersection.
...This simulation grew out of my disgust with driving to and from work. The simulation currently models only a single intersection. I had envisioned that I would expand the simulation to an array of 10x10 intersections. However, computations for a single intersection are quite time consuming. So unless I can figure out a more efficient computation or modeling mechanism, I am less inclined to pursue the multiple intersection modeling. -
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CrypTen
A framework for Privacy Preserving Machine Learning
CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. Its design mirrors PyTorch’s modular and library-based structure, enabling flexible experimentation, debugging, and model development. ... -
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ordinals
Collection of scripts for transfinite ordinals computations
Collection of scripts for transfinite ordinals computations -
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TensorFlow Haskell
Haskell bindings for TensorFlow
The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies... -
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Tensor Algebra Compiler
The Tensor Algebra Compiler (taco) computes sparse tensor expressions
...TACO can be used to implement sparse linear and tensor algebra applications in a wide range of domains. TACO supports a wide range of sparse (and dense) linear/tensor algebra computations, from simpler ones like sparse matrix-vector multiplication to more complex ones like MTTKRP on higher-order sparse tensors. Tensors can be stored in a variety of storage formats, including commonly-used sparse matrix and tensor formats like CSR and COO as well as specialized formats like CSF. Under the hood, TACO employs a novel compiler-based technique to generate kernels that are optimized for the computations you want to perform. ... -
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Polynomial System Solver
pss5 is a polynomial system solver, under development.
The objective of this project is to build a general-purpose polynomials system solver. While a few of those programs are available, this one will incorporate recent mathematical advances on mixed volume computations, sparse condition numbers and condition-metric homotopy. -
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Prometheus Spec
Censorship-resistant trustless state channels for machine learning
...With the recent rise in popularity of Bitcoin as a censorship-resistant financial and transactional system a new technological field of blockchain and its applications appeared. This work addresses the problem of computational integrity proofs (correctness of the actual computations) made by some non-trusted (anonymous) third party without repeating the whole volume of the actual computing. The issue is usually addressed by use of probabilistically checkable proofs (PCP), however, such simple approach leave untouched the question of coupling the payments for the consumed computational resources with the actual proof. ... -
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brain.js
GPU accelerated Neural networks in JavaScript for Browsers
...However, if you run into problems, this means prebuilt binaries are not able to download from GitHub repositories and you might need to build it yourself. Brain.js is super simple to use. You do not need to know Neural Networks in detail to work with this. Brain.js performs computations using GPU and gracefully fallback to pure JavaScript when GPU is not available. Brain.js provides multiple neural network implementations as different neural nets can be trained to do different things well. Easily export and import trained models using JSON format or as a function. Host pre-trained models on your website easily. -
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Stampede
The ToroDB solution to provide better analytics on top of MongoDB
Stampede is a high-performance cache stampede prevention library designed to mitigate excessive cache misses in distributed caching systems. It helps avoid the "thundering herd" problem, where multiple requests simultaneously trigger expensive computations when a cache entry expires. Stampede manages cache expiration intelligently, ensuring that only one request regenerates a missing cache entry while others wait for the updated value. -
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Prepack
A JavaScript bundle optimizer
...Prepack is still in an early development stage and not ready for production use just yet. Please try it out, give feedback, and help fix bugs. Prepack is a tool that optimizes JavaScript source code: Computations that can be done at compile-time instead of run-time get eliminated. Prepack replaces the global code of a JavaScript bundle with equivalent code that is a simple sequence of assignments. This gets rid of most intermediate computations and object allocations. Prepack operates at the AST level, using Babel to parse and generate JavaScript source code. ... -
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X10
Performance and Productivity at Scale
...This model introduces two key concepts -- places and asynchronous tasks -- and a few mechanisms for coordination. With these, APGAS can express both regular and irregular parallelism, message-passing-style and active-message-style computations, fork-join and bulk-synchronous parallelism. Both its modern, type-safe sequential core and simple programming model for concurrency and distribution contribute to making X10 a high-productivity language in the HPC and Big Data spaces. User productivity is further enhanced by providing tools such as an Eclipse-based IDE (X10DT). ... -
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NimTorch
PyTorch - Python + Nim
NimTorch is a deep learning library for the Nim programming language, providing bindings to PyTorch for efficient tensor computations and neural network functionalities. -
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STXXL is an implementation of the C++ standard template library STL for external memory (out-of-core) computations, containers, and algorithms that can process huge volumes of data that only fit on disks.
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ampclib
Arithmetic Multlple Precision Computation Library
ampclib is a simple to use platform independed C++ library for arithmetic multiple precision computations with a ritch and self explaining interface. It provides number theoretic functions and primality tests. The ampclib consists of three classes: +Integer (multiple precision integers) +Rational (multiple precision rational numbers using the Integer class) +Primes (prime number computations and number theoretic functions for unsigned 32 bit integers) The latest release contains optimizations and bug fixes. -
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Tiramisu
Polyhedral compiler for expressing fast and portable data algorithms
Tiramisu is a compiler for expressing fast and portable data parallel computations. It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout transformations. ... -
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RadiationHelper
Alpha, Beta, Gamma measurements and Nuclide exposure
RadiationHelper is a data analysis tool for : 1. gross alpha and beta radiation measurement and detector calibration using experimental data (counts acquired by alpha-beta devices). 2. gamma spectroscopy measurements and detector calibration using experimental data (spectra acquired by acquisition software such as Assayer, Gamma Vision, Maestro) 3. gross alpha,beta, gamma detector efficiencies and gamma peak efficiency can be theoretical computed using Monte-Carlo simulation technique for radiation transport (based on EGSnrc toolkit) 4.dose assessment in human body exposed to radiations from nuclides in several common scenarios such as air exposure, water submersion, ground surface, internal ingestion or inhalation. 5. quick dosimetry and shielding computations. It is platform independent (written entirely in Java). Source code included in jar files! Also, available on GitHub: https://github.com/ZiliasTheSaint/RadiationHelper.git Checkout for dependent modules! -
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A package for computations with finite automata (rooted tree automorphisms) for the GAP system, http://www.gap-system.org.
