Search Results for "memory usage" - Page 3
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207 projects for "memory usage" with 1 filter applied:
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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LuxTTS
A high-quality rapid TTS voice cloning model
...The project supports zero-shot voice cloning, meaning it can adapt to a reference speaker’s voice with minimal example data, enabling realistic and personalized synthetic speech. Intended for developers, hobbyists, and creators, the repository includes installation instructions, usage examples, and Python APIs that make it feasible to integrate the model in local workflows, web demos, or production systems. Its design emphasizes efficiency and practicality, fitting within modest GPU memory footprints. -
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Cowboy
Small, fast, modern HTTP server for Erlang/OTP
Cowboy is a small, fast, modern HTTP server for Erlang and OTP applications. It provides a complete HTTP stack while keeping the codebase compact and optimized for low latency and low memory usage. Cowboy supports routing, request dispatching, HTTP handlers, REST handlers, WebSocket connections, and long-lived streaming-style interactions. Because it uses Ranch for connection management, it can be embedded directly inside larger Erlang systems rather than deployed only as a separate web server. The project is well suited for real-time systems, APIs, messaging infrastructure, telecom-style applications, and fault-tolerant services that benefit from the Erlang runtime. ... -
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AgentGuide
AI Agent Development Guide, LangGraph in Action, Advanced RAG
...Instead of presenting scattered resources, the repository organizes them into a systematic learning roadmap that guides learners from foundational concepts to advanced AI agent systems. The guide covers topics such as agent frameworks, retrieval-augmented generation systems, multi-agent collaboration, memory management, and tool usage. It also includes practical projects, interview preparation materials, and curated research papers related to AI agents and LLM engineering. The project is designed not only for learning but also for career preparation, helping developers understand how to build portfolio projects and prepare for AI engineering roles. -
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XZ Utils
Open-source compression utility and library
...It provides both command-line tools and a reusable C library, enabling developers and system administrators to compress and decompress files efficiently across many environments. The project is known for delivering strong compression performance while maintaining reasonable memory usage, making it suitable for software distribution, backups, and archival workflows. xz is commonly included in Unix-like operating systems and is often used as a standard packaging format in Linux ecosystems. The toolkit supports streaming, multi-threaded operation, and integrity checking to ensure reliable data handling. Overall, xz serves as a foundational compression technology for modern open-source software distribution and storage optimization. -
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tinysearch
Tiny, full-text search engine for static websites built with Rust
...It is written in Rust and compiled to WebAssembly, allowing it to run entirely in the browser while maintaining a very small footprint. The engine uses compact data structures such as XOR filters to efficiently index and query text, significantly reducing memory usage compared to traditional search libraries. TinySearch is particularly well-suited for blogs and documentation sites generated by static site generators, where simplicity and performance are critical. It processes content into a serialized binary index that can be loaded quickly and searched client-side, eliminating the need for external search services. ... -
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Chitu
High-performance inference framework for large language models
...Chitu is designed to scale from small single-machine deployments to large distributed clusters that handle high volumes of concurrent inference requests. The system also includes performance optimizations for large models, including support for quantized formats and efficient computation operators that reduce memory usage and latency. Its architecture aims to support enterprise adoption by ensuring stable long-term operation under production workloads. -
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Context Hub
Makes coding agents get smarter with every task
...Context Hub is especially useful for teams that use AI coding assistants and want more reliable API usage, fewer hallucinated calls, and a transparent source of agent-readable context. -
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Sail
A drop-in Apache Spark replacement written in Rust
...It also emphasizes cost efficiency, with benchmarks showing significant performance improvements and reduced infrastructure usage compared to traditional systems. -
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Extractous
Fast and efficient unstructured data extraction
...Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. For broader format support, the system combines its Rust core with ahead-of-time compiled Apache Tika shared libraries, which allows it to extend parsing coverage while still avoiding traditional server-based overhead. It also supports OCR for images and scanned documents through Tesseract, making it useful for document ingestion pipelines that include image-based or scanned inputs. -
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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Dockhand
Docker management you will like
...Designed for homelab enthusiasts, developers, and growing teams, Dockhand offers real-time container lifecycle controls, visual editors for stacks, and a dashboard that shows system metrics like CPU and memory usage. The platform supports Git integration for deploying and syncing Compose stacks directly from repositories, interactive log streaming, and shell access into containers. It also includes tools for managing images, volumes, networks, and container events, making it a comprehensive alternative to traditional command-line workflows. ... -
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MicroQuickJS
Public repository of the Micro QuickJS Javascript Engine
MicroQuickJS (MQuickJS) is a compact JavaScript engine designed specifically for embedded systems where memory and storage are extremely limited. Its primary goal is to compile and run JavaScript programs using minimal RAM, making it suitable for microcontrollers and constrained devices that cannot host a full-featured runtime. The engine is intentionally small in ROM footprint while still providing practical performance comparable to lightweight desktop-grade embeddable engines in its... -
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Dozzle
Realtime log viewer for containers. Supports Docker, Swarm and K8s
...The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live stats such as CPU and memory usage. It supports more advanced analysis through an in-browser SQL query engine for querying logs, which helps when you need structured filtering without exporting data elsewhere. Dozzle also supports multi-user authentication and can integrate with proxy-forward authorization setups for deployments behind gateways. For larger environments, it can monitor multiple hosts via an agent mode and supports orchestrators like Docker Swarm and Kubernetes. -
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LLM-Pruner
On the Structural Pruning of Large Language Models
LLM-Pruner is an open-source framework designed to compress large language models through structured pruning techniques while maintaining their general capabilities. Large language models often require enormous computational resources, making them expensive to deploy and inefficient for many practical applications. LLM-Pruner addresses this issue by identifying and removing non-essential components within transformer architectures, such as redundant attention heads or feed-forward... -
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Torch Pruning
DepGraph: Towards Any Structural Pruning
Torch-Pruning is an open-source toolkit designed to optimize deep neural networks by performing structural pruning directly within PyTorch models. The library focuses on reducing the size and computational cost of neural networks by removing redundant parameters and channels while maintaining model performance. It introduces a graph-based algorithm called DepGraph that automatically identifies dependencies between layers, allowing parameters to be pruned safely across complex architectures.... -
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quicktemplate
Fast, powerful, yet easy to use template engine for Go
quicktemplate is a fast and efficient templating engine for Go that generates code at compile time to render templates with minimal runtime overhead. Unlike traditional templating systems that interpret templates dynamically, Quicktemplate compiles templates into Go code, significantly improving performance. This approach eliminates the need for reflection and reduces memory allocations, making it suitable for high-performance applications. The library is designed to be simple and... -
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Mini Agent
A minimal yet professional single agent demo project
Mini-Agent is a minimal yet production-minded demo project that shows how to build a serious command-line AI agent around the MiniMax-M2 model. It is designed both as a reference implementation and as a usable agent, demonstrating a full execution loop that includes planning, tool calls, and iterative refinement. The project exposes an Anthropic-compatible API interface and fully supports interleaved thinking, letting the agent alternate between reasoning steps and tool invocations during... -
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BitNet
BitNet: Scaling 1-bit Transformers for Large Language Models
...The project implements the BitNet architecture described in research on scaling transformer models using extremely low-bit quantization techniques. In this approach, neural network weights are quantized to approximately one bit per parameter, allowing models to operate with far lower memory usage than traditional 16-bit or 32-bit neural networks. The architecture introduces specialized layers such as BitLinear, which replace standard linear projections in transformer networks with quantized operations. By limiting weight precision while maintaining efficient scaling and normalization strategies, the architecture aims to retain competitive performance while significantly reducing hardware requirements. -
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xosview
X11 based performance meter
Xosview displays many system related stats such as cpu usage, memory usage, swap usage, network usage, interrupt activity, serial activity, load average and more inside of an X Window. Platforms: Linux, NetBSD, FreeBSD, OpenBSD, Dragonfly BSD, Solaris, GNU HURD, Minix, Windows/cygwin. http://xosview.sourceforge.net/ -
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phpSysInfo is a customizable PHP Script that parses /proc, and formats information nicely. It will display information about system facts like Uptime, CPU, Memory, PCI devices, SCSI devices, IDE devices, Network adapters, Disk usage, and more.
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HunyuanVideo-I2V
A Customizable Image-to-Video Model based on HunyuanVideo
HunyuanVideo-I2V is a customizable image-to-video generation framework developed by Tencent, extending the capabilities of HunyuanVideo. It allows for high-quality video creation from still images, using PyTorch and providing pre-trained model weights, inference code, and customizable training options. The system includes a LoRA training code for adding special effects and enhancing video realism, aiming to offer versatile and scalable solutions for generating videos from static image inputs. -
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Open Crypto Tracker
Bitcoin Alts portfolio tracker, email / text / alexa / telegram alerts
100% FREE / open source / PRIVATE cryptocurrency portfolio tracker. Email / text / alexa / telegram price alerts, price charts, mining calcs, leverage / gain / loss / balance stats, news feeds +more. Privately track Bitcoin / Ethereum / unlimited cryptocurrencies. Customize as many assets / markets / alerts / charts as you want. Over 50 Exchanges / 40 Trading Pairs Supported (exchanges / pairings list at bottom of README.txt): https://tinyurl.com/ct-readme Nearly Unlimited Assets... -
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SLiMS Library Management System
Free & Open Community Edition Server in a Complete Virtual Machine
This VM is created for 2 reasons: 1. Very little initial setup work required to make a Library Management System live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with lm wherever mentioned ) After starting this VM, please access these websites ( Just Accept Any Warnings ) : Public Website Address:... -
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Koha Library Management System
Free & Open Community Edition Server in a Complete Virtual Machine
This VM is created for 2 reasons: 1. Very little initial setup work required to make a Library Management System live, within minutes. 2. This system should keep running for Years, without requiring Updates / Breakages. If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with koha wherever mentioned ) After starting this VM, please access these websites ( Just Accept Any Warnings ) : Public Website Address:... -
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Digital Forensics Guide
Learn all about Digital Forensics and Computer Forensics
The Digital Forensics Guide repository is a comprehensive, structured reference for investigators, analysts, students, and cybersecurity professionals interested in digital forensics principles, tools, methodologies, and workflows. It organizes foundational topics such as evidence acquisition, disk and memory analysis, file system structures, network forensics, artifact extraction, timeline generation, and reporting into digestible modules that help build core competency. Alongside... -
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SuperAGI
A dev-first open source autonomous AI agent framework
...Connect to multiple Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents.
