Search Results for "memory" - Page 48
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Showing 2497 open source projects for "memory"
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Orchest
Build data pipelines, the easy way
...Parameterize your pipelines and run them periodically on a cron schedule. Easily install language or system packages. Built on top of regular Docker container images. Creation of multiple instances with up to 8 vCPU & 32 GiB memory. A free Orchest instance with 2 vCPU & 8 GiB memory. Simple data pipelines with Orchest. Each step runs a file in a container. It's that simple! Spin up services whose lifetime spans across the entire pipeline run. Easily define your dependencies to run on any machine. Run any subset of the pipeline directly or periodically. -
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ESP8266 Arduino Core
ESP8266 core for Arduino
ESP8266 Arduino Core is the Arduino core for the ESP8266 WiFi chip. It brings support for the ESP8266 chip to the Arduino environment, allowing you to write sketches, use familiar Arduino functions and libraries, and run these directly on ESP8266 without the need for an external microcontroller. ESP8266 Arduino core comes with libraries that enable it to perform a number of things. It can communicate over WiFi through the use of TCP and UDP; it can set up HTTP, mDNS, SSDP, and DNS... -
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FeatureBase
A crazy fast analytical database, built on bitmaps
FeatureBase is an Open Source, in-memory, MLAP engine providing SQL support, real-time updates, and analytical processing for your growing data. A binary tree index improves the performance & efficiency of analytical queries by reducing I/O operation. Simple or complex, FeatureBase knocks it out in milliseconds. On-the-fly updates and deletes. Operate instantly on your freshest data without the need for preaggregation. -
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...Handles XML and similar structured files. The library provides access (read and write) via a linked list. This is conceptual different from the SAX approach. The data can be held and 'browsed' in memory.
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Sqlite Index Blaster
Create huge Sqlite indexes at breakneck speeds
SQLite Blaster is an advanced SQLite extension that enhances database performance by enabling multi-threading, data compression, and memory optimizations. It is designed for applications that require fast local storage with improved query efficiency. -
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ToMe (Token Merging)
A method to increase the speed and lower the memory footprint
ToMe (Token Merging) is a PyTorch-based optimization framework designed to significantly accelerate Vision Transformer (ViT) architectures without retraining. Developed by researchers at Facebook (Meta AI), ToMe introduces an efficient technique that merges similar tokens within transformer layers, reducing redundant computation while preserving model accuracy. This approach differs from token pruning, which removes background tokens entirely; instead, ToMe merges tokens based on feature... -
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Memory Layout Specification Tool
A tool for generating memory maps for low-level and embedded systems.
The Memory Layout Specification Tool (MLST) is a file specification and a collection of tools for conveying the contents of a memory map. MLST can take an appropriately formatted specification and create both a representation of the memory map for a assembler and documentation from the input file. -
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T81 558
Applications of Deep Neural Networks
...Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. High-Performance Computing (HPC) aspects will demonstrate how deep learning can be leveraged both on graphical processing units (GPUs), as well as grids. -
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CSAPP-Labs
Solutions and Notes for Labs of Computer Systems
CSAPP-Labs is a repository that organizes and provides practical lab exercises corresponding to the famous textbook Computer Systems: A Programmer’s Perspective (CS:APP), helping students deepen their understanding of how computer systems work at the machine level. The exercises cover core topics such as data representation, assembly language, processor architecture, cache behavior, memory hierarchy, linking, and concurrency, contextualizing abstract concepts from the book in real code and experiments. Each lab is structured to include test programs, Makefiles, harnesses, and step-by-step instructions that guide students through hands-on interaction with low-level programming and system behavior. By actually building and debugging code that runs close to hardware, learners acquire intuition about performance trade-offs, bit-level manipulation, stack frame layout, and how compilers and OS features influence execution. -
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Papa Parse
CSV parser that handles large files and malformed input
...Auto-detect delimiter, open local files, download remote files, stream local and remote files, multi-threaded, header row support, type conversion, skip commented lines, fast mode, graceful error handling, and optional sprinkle of jQuery. Specify a step callback to receive the results row-by-row. This way, you won't load the whole file into memory and crash the browser. If you tell Papa there is a header row, each row will be organized by field name instead of index. If you want numbers and booleans, you can enable dynamic typing to do the conversion for you. -
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Ostara
Ostara is an admin app for Spring Boot applications
...With Ostara we wanted to create a tool that just works out of the box, without the need for anything besides a functioning Actuator API on the other end. Ostara allows you to gain insights into the performance and health of your applications by providing real-time data of metrics such as CPU and memory usage, app and system properties, beans and their dependencies, and much more. In addition the app allows you to perform actions on your applications like changing log levels and evict caches. Ostara is open source and free to use. We would greatly appreciate any feedback, recommendations and/or requests. -
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MetalPetal
A GPU accelerated image and video processing framework built on Metal
MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced. It does directly represent image bitmap data instead it has all the... -
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YHTML
YHTML, HTML5 Components for Lazarus
Standalone Server. Generate optimized HTML5 code to manage file, pictures or data. Applications created in memory. YHTML uses a package of extended packages. Les applications YHTML sont des application WEB qui ne nécessitent pas d’installation de serveur. YTHML génère du code HTML5 de manière optimisée ce qui limite le transfert des données HTML sur le réseau. YHTML fonctionne entièrement en mémoire et ne va pas utiliser le disque dur, le temps de réponse est alors immédiat. ... -
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MC 6800 Emulator for Teensy 4
6800 Emulator runs on Teensy 4 processor
6800/ET-3400 Emulator, designed for the Teensy 4.0/4.1 processors. Build this with the Arduino IDE 2.0. Full Source and readme included in archive. Programs written in 6800 assembly can be run in the emulator. It supports two modes of operation, an internal monitor program and a mode that emulates the Heathkit ET3400 (and ET-6800) microprocessor trainers. Motorola released the MC6800 chip in 1974. It was a source of inspiration for the designers of the more popular (and cheaper) 6502 chip... -
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SimpleXlsxWriter
C++ library for creating XLSX files for MS Excel 2007 and above.
This library represents XLSX files writer for Microsoft Excel 2007 and above. The main feature of this library is that it uses C++ standard file streams. On the one hand it results in almost unnoticeable memory and CPU resources consumption while processing (that may be very useful at saving a large data arrays), but on the other hand it makes unfeasible to edit data that were written. Hence, if using this library the structure of the future report should be known enough. The library is written in C++ with using STL functionality and based on the ZIP library (included), which has a free license: http://www.codeproject.com/Articles/7530/Zip-Utils-clean-elegant-simple-C-Win32 This library is distributed under the terms of the zlib license: http://www.zlib.net/zlib_license.html -
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Amiga Memories
A walk along memory lane
Amiga Memories is a project (started & released in 2013) that aims to make video programmes that can be published on the internet. The images and sound produced by Amiga Memories are 100% automatically generated. The generator itself is implemented in Squirrel, the 3D rendering is done on GameStart 3D. An Amiga Memories video is mostly based on a narrative. The purpose of the script is to define the spoken and written content. The spoken text will be read by a voice synthesizer (Text To... -
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SocketCluster
Highly scalable realtime pub/sub and RPC framework
Highly scalable pub/sub and RPC toolkit optimized for async/await. Pub/sub-channels are very cheap. You can have millions of unique channels without worrying about memory or CPU usage. Channels are automatically cleaned up when they are no longer used. The socket cluster CLI tool exposes kubectl (Kubernetes) shortcut commands to make deploying your app to any Kubernetes cluster really easy. All necessary Kubernetes .yaml files are provided. After deploying your app to a Kubernetes cluster, you can scale indefinitely by using the kubectl scale deployment command to add more SCC-worker and SCC-broker instances as needed. ... -
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Aurae
Distributed systems runtime daemon written in Rust
Aurae is on a mission to be the most loved and effective way of managing workloads on a node. Our hope is that by bringing a better set of controls to a node, we can unlock brilliant higher-order distributed systems in the future. Aurae deploys a memory-safe 1 runtime daemon, process manager, and PID-1 initialization system to remotely schedule processes, containers, and virtual machines as well as set node configurations (e.g., networking storage). Through system proportioning and enterprise workload isolation techniques, the Aurae open-source project can complement higher-order schedulers and control planes (such as Kubernetes) as Aurae supports the usage of multi-tenant workloads and enterprise identities all the way down to the socket layer. -
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Mars Framework
Mars is a tensor-based unified framework for large-scale data
...Its architecture automatically divides large computational tasks into smaller chunks that can be executed across multiple nodes in a cluster, allowing complex analytics, machine learning workflows, and data transformations to run efficiently at scale. Mars is particularly useful for workloads that exceed the memory capacity of a single machine or require high levels of parallel processing. -
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PoemKit
React toolkit for building a full website that also is a Micro-Fronten
A free web kit with React for fast web design and development via SSR. It also is a Micro-Frontend Architecture. Using react, redux, router, axios and express. This project was bootstrapped with nodejs library. Project supports automatic deployments from a number of repository hosting services via pm2. PoemKit delivers more than 50+ built-in UI components for building modern web applications. Source: https://github.com/xizon/poemkit -
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FasterTransformer
Transformer related optimization, including BERT, GPT
...The library supports multiple deep learning frameworks, including TensorFlow, PyTorch, and Triton, allowing developers to integrate it into existing pipelines without major changes. It includes advanced optimization techniques such as mixed precision, tensor parallelism, and efficient memory management, enabling large models to run across multiple GPUs and nodes. FasterTransformer is particularly focused on inference workloads, where it significantly improves performance compared to standard framework implementations. Although development has transitioned toward TensorRT-LLM, the project remains an important reference for understanding optimized transformer execution. -
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xfemm
Cross platform electromagnetics finite element analyisis based on FEMM
...Development of xfemm now takes place on Github here: https://github.com/REOptimize-Systems/xfemm xfemm is a refactoring of the core algorithms of the popular Windows-only FEMM (Finite Element Method Magnetics, www.femm.info) to use only the standard template library and therefore be cross-platform. The codes can be used as a library, standalone executables, or through the advanced Matlab/Octave interface, which uses direct data exchange at the memory level rather than the original FEMM ActiveX or file-based interface, for much improved communication speed. If you use xfemm, particularly for industrial work, but also academic, it will be greatly appreciated if you could write an email stating this and how it has supported your work. This is a low-cost way to ensure further development and maintenance will continue! -
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Privaxy
Privaxy is the next generation tracker and advertisement blocker
...A single instance of Privaxy on a small virtual machine, server or even, on the same computer as the traffic is originating from, can filter thousands of requests per second while requiring a very small amount of memory. -
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Selfie
An educational software system of a tiny self-compiling C compiler
...The common theme is to identify and resolve self-reference in systems code which is seen as the key challenge when teaching systems engineering, hence the name. Selfie is implemented in a single (!) file and kept minimal for simplicity. There is also a simple in-memory linker, a RISC-U disassembler, a garbage collector, L1 instruction and data caches, a profiler, and a debugger with replay.
