Search Results for "memory" - Page 7
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Showing 255 open source projects for "memory"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Doctrine Cache
Doctrine Cache component
...The ApcuCache driver uses the apcu_fetch, apcu_exists, etc. functions that come with PHP so no additional setup is required in order to use it. The ArrayCache driver stores the cache data in PHPs memory and is not persisted anywhere. -
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Quiver for Dart
A set of utility libraries for Dart
Quiver is a comprehensive collection of utility libraries for Dart that extends core functionality and simplifies common programming patterns. It provides reusable tools for asynchronous programming, data structures, caching, time manipulation, string utilities, and more. Originally inspired by Google’s internal libraries, Quiver helps developers write cleaner, more expressive, and testable Dart code. Its modular design allows importing only the needed packages, making it both flexible and... -
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protostuff
Java serialization library, proto compiler, code generator
A java serialization library with built-in support for forward-backward compatibility (schema evolution) and validation. -
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CCM (C# Collections Mapper)
The CCM is a mini ORM, working with the database and C# collections
...At the same time, ORM completely relieves the developer from direct communicating with ADO - datasets, tables, rows, and other data aceess component, to track connections, commands or operate with adapters because ORM works at a higher level of data abstraction. At the same time you will be completely protected from memory leaks and free to create complexity application logic at the primary data level. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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minicoro
Single header stackful cross-platform coroutine library in pure C
Minicoro is a single-file library for using asymmetric coroutines in C. The API is inspired by Lua coroutines but with C's use in mind. The project is being developed mainly to be a coroutine backend for the Nelua programming language. The library assembly implementation is inspired by Lua Coco by Mike Pall. -
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vim-surround
Delete/change/add parentheses/quotes/XML-tags/much more with ease
...Because the commands are orthogonal to movements, you can target words, sentences, or visual selections without learning new modes. Over time, vim-surround becomes muscle memory, reducing cognitive load and helping you keep your hands on the keyboard during structural edits. -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
...Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. The library provides automatic path finding and cost estimation, exposing when contractions will explode in memory and suggesting better orders. Because it supports backends such as NumPy, TensorFlow, PyTorch, and JAX, the same model can run on CPUs, GPUs, or TPUs with minimal code changes. Tutorials and visualization helpers make it easier to understand how network topology affects expressive power and computational cost. -
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Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. ... -
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Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
...To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to speed up inference and minimize memory footprint has been studied widely. One of the popular techniques for model compression is pruning the weights in convnets, is also known as sparse convolutional networks. Such parameter-space sparsity used for model compression compresses networks that operate on dense tensors and all intermediate activations of these networks are also dense tensors. -
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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Ooui Web Framework
UI library that brings the simplicity of native UI development to web
...Ooui has been broken up into several packages to increase the variety of ways that it can be used. When the user requests a page, the page will connect to the server using a web socket. This socket is used to keep the server's in-memory model of the UI (the one you work with as a programmer) in sync with the actual UI shown to the user in their browser. This is done using a simple messaging protocol with JSON packets. -
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sc
Common libraries and data structures for C
...Each folder is stand-alone with a single header/source pair in it. There is no build for libraries, just copy files you want. e.g If you want the logger, copy sc_log.h and sc_log.c to your project. High performance & minimal memory usage. Portability between many operating systems and architectures. Tests with 100% branch coverage and multiple sanitizers. Drag & drop source code distribution. There is 100% branch coverage on Linux. Buffer for encoding/decoding variables, best fit for protocol/serialization implementations. Signal safe snprintf & Signal handler (handling CTRL+C, printing backtrace on crash etc). ... -
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heim
Cross-platform async library for system information fetching
Heim is a cross-platform system monitoring library written in Rust, providing real-time metrics for CPU, memory, and other resources. -
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OHHTTPStubs
Stub your network requests easily!
OHHTTPStubs is a library designed to stub your network requests very easily. It can help you test your apps with fake network data (stubbed from file) and simulate slow networks, to check your application behavior in bad network conditions, and write unit tests that use fake network data from your fixtures. OHHTTPStubs headers are fully documented using Appledoc-like / Headerdoc-like comments in the header files. Instead of writing the content of the stubs you want to use manually, you can... -
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ocapi
C-level driver collection for MSP430 and derivatives
ocapi is an open source driver collection for MSP430 and derivative processors. It provides a C language application programming interface (API) for deploying individual processor capabilities. Current modules support serial communication via UART, I2C and SPI, digital I/O (GPIO), analog-to-digital conversion (ADC), Timers and so on. ocapi aims at being independent of the development host platform. So it should work, no matter if you live in the Windows, Linux or Mac world. ocapi is used... -
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Bloaty
Bloaty: a size profiler for binaries
...It also supports data sources such as symbol tables and map files, combining them into coherent, readable breakdowns. Teams use Bloaty to drive systematic size-reduction efforts in embedded, desktop, and mobile software where startup time, memory footprint, or download size matter. -
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SwiftOCR
Fast and simple OCR library written in Swift
...Tesseract is written in C++ and over 30 years old. To use it you first have to write a Objective-C++ wrapper for it. The main issue that's slowing down Tesseract is the way memory is managed. Too many memory allocations and releases slow it down. -
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Extended C Library
Extended C Library
...If you need a different license then please send me a request (lelanthran at gmail) and I'll do my best to satisfy your request. What's completed? As of writing, the following libraries have been written and tested: 1. Memory accounting/tracking 2. String operations 3. Vectors 4. Trees 5. Dictionary arrays 6. Configuration management See the wiki page for more information -
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sharppcap
ully managed, cross platform
Fully managed, cross-platform (Windows, Mac, Linux) .NET library for capturing packets from live and file-based devices -
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Happy Java Library
Multilock, Collections, Controllers, Delegates, Generators, Streams
Helps to develop and test event-based multi-threaded Java application. Because of method called as API-Evolution the Happy Java Library is fully downward compatible. The library contains following functionality: MultiLock, Parallel loops, Collections, Controllers, Generators, Delegates, Streams. -
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Nuklear
A single-header ANSI C gui library
...Nuklear supports a variety of UI elements such as windows, buttons, sliders, and text inputs, with customizable styling for flexibility. Its immediate-mode design emphasizes simplicity and low memory usage, enabling developers to create responsive interfaces with minimal overhead. As a public domain project, Nuklear is widely adopted in both professional and hobbyist projects for quick GUI development. -
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easy_profiler
Lightweight profiler library for c++
...You can profile any function in your code. Furthermore, this library provides measuring time of any block of code. For example, information for 12 millions of blocks is using less than 300Mb of memory. Working profiler slows your application execution for only 1-2%. The average overhead per block is about 15ns/block (tested on Intel Core i7-5930K 3.5GHz, Win7). Disabled profiler will not affect your application execution in any way. You can leave it in your Release build and enable it at run-time at any moment during the application launch to see what is happening at the moment. ... -
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Incremental DOM
An in-place DOM diffing library
...Instead of creating and diffing large object graphs, templates compile to a sequence of function calls that “patch” the live DOM in place. This model eliminates allocations associated with virtual trees and allows updates to be streamed directly to the DOM, which can improve memory usage and reduce GC pressure. It integrates naturally with template compilers (such as those that generate calls from HTML-like markup) but can also be used by hand for fine-tuned rendering. The library is small and focused: it manages element creation, attribute updates, and text nodes while leaving state management and data flow to the host framework. ... -
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benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different... -
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cperl
A perl5 with classes, types, compilable, company friendly, security
cperl is an enhanced fork of Perl 5, aiming to modernize the language by introducing features such as classes, types, and improved performance. It focuses on providing a more secure and company-friendly version of Perl, with additional compiler support and better memory management. -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
...The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. 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.
