Search Results for "memory" - Page 12
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Showing 2490 open source projects for "memory"
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Benchee
Easy and extensible benchmarking in Elixir
...There are also a bunch of plugins to draw pretty graphs and more! Benchee runs each of your functions for a given amount of time after an initial warmup, it then measures their run time and optionally memory consumption. It then shows different statistical values like average, standard deviation etc. The aforementioned plugins like benchee_html make it possible to generate nice-looking HTML reports, where individual graphs can also be exported as PNG images. first runs the functions for a given warmup time without recording the results, to simulate a "warm"/running system. ... -
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Rill
Fast SQL-based BI tool for real-time dashboards and analytics
Rill is an operational BI tool that turns raw datasets into fast, interactive dashboards using SQL and a code-first approach. It helps data teams move from data lake to insight quickly, without the complexity of traditional BI systems. With an embedded in-memory database powered by DuckDB or ClickHouse, queries run in milliseconds, enabling real-time exploration and analysis. Rill supports local and remote data sources such as CSV, Parquet, S3, and GCS, making it flexible across environments. Its BI-as-code model combines SQL, YAML configuration, Git version control, and CLI tools, allowing teams to build, manage, and deploy analytics workflows efficiently. ... -
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OpenClaw Opik Observability Plugin
Official plugin for OpenClaw that exports agent traces to Opik
...The project integrates directly with OpenClaw’s plugin architecture so that developers can capture detailed runtime information about how their agents behave while executing tasks. Each time an AI agent performs an action—such as calling a large language model, invoking a tool, accessing memory, or delegating to a sub-agent—the plugin records the full interaction and sends it to Opik for analysis and visualization. This allows developers to inspect inputs, outputs, token usage, latency, and execution flow across complex multi-step agent workflows. The goal of the project is to provide transparency into the internal reasoning and operational pipeline of agent systems so developers can diagnose failures, control costs, and improve reliability. -
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Defold
Free game engine for development of desktop, mobile, and web games
...Game logic is written in Lua (with optional native extensions in C/C++ when needed), and the engine uses a component-based system and a message-passing paradigm to manage object interactions — a design that promotes loosely-coupled, reactive game code rather than traditional heavy OOP. Defold is optimized for efficiency: exported games tend to have small binary size and low memory use, making it appealing for mobile, HTML5/web, and lightweight games. -
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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BTree implementation for Go
BTree provides a simple, ordered, in-memory data structure for Go
This package is a high-performance, in-memory B-tree for Go that implements an ordered set/map with efficient insert, delete, and range iteration. It’s parameterized by tree degree so callers can tune cache behavior and memory overhead for their workload. Instead of relying on Go’s built-in maps—which are hash-based and unordered—btree preserves sorted order and provides rich traversal APIs like ascending, descending, and range scans. -
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PgBouncer
lightweight connection pooler for PostgreSQL
PgBouncer is a lightweight, high-performance connection pooler for PostgreSQL. It reduces the overhead of frequent connection handling by maintaining a pool of open connections, which are reused by client applications. PgBouncer supports various pooling modes, transaction-level handling, and authentication mechanisms, making it essential for scaling Postgres-backed applications. -
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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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MongoDB Rust Driver
The official MongoDB Rust Driver
The MongoDB Rust Driver is a native, idiomatic Rust client for MongoDB that gives systems software and back-end services the ability to interact with MongoDB from safe, performant Rust code. It makes extensive use of Rust’s ownership and type systems to ensure memory safety, thread safety, and predictable performance without garbage collection overhead. The driver supports common MongoDB features like CRUD operations, indexing, aggregations, change streams, and transactions, enabling full use of the database’s capabilities from Rust applications. Because it’s asynchronous by design, it works well with Rust async runtimes like Tokio and async-std, letting developers build highly concurrent networked services that efficiently use modern multicore hardware. ... -
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kafka-go
Kafka library in Go
...It is poorly documented, the API exposes low level concepts of the Kafka protocol, and it doesn't support recent Go features like contexts. It also passes all values as pointers which causes large numbers of dynamic memory allocations, more frequent garbage collections, and higher memory usage. confluent-kafka-go is a cgo based wrapper around librdkafka, which means it introduces a dependency to a C library on all Go code that uses the package. It has much better documentation than sarama but still lacks support for Go contexts. goka is a more recent Kafka client for Go which focuses on a specific usage pattern. ... -
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10
Nuke
Image loading system
...Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and optimized for performance. Fast LRU memory cache, native HTTP disk cache, and custom aggressive LRU disk cache. Customize image pipeline using built-in Alamofire, Gifu, FLAnimatedImage, WebP plugins or create your own. Enable progressive decoding with a single line of code. Nuke supports progressive JPEG out of the box, and WebP via a plugin built by the community. Automatically prefetch images ahead of time using either Preheat or native table and collection view prefetching APIs. -
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Echo
High performance, minimalist Go web framework
High performance, extensible, minimalist Go web framework. Highly optimized HTTP router with zero dynamic memory allocation which smartly prioritizes routes. Build robust and scalable RESTful API, easily organized into groups. Automatically install TLS certificates from Let's Encrypt. HTTP/2 support improves speed and provides better user experience. Many built-in middleware to use, or define your own. Middleware can be set at root, group or route level. -
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jetson-stats
Simple package for monitoring and control your NVIDIA Jetson
...It supports Jetson platforms such as Orin, Xavier, Nano, TX, and newer Jetson families. The project includes jtop, a terminal-based dashboard that gives users a live view of CPU, GPU, memory, power, temperature, engine usage, and system status. It can also be imported into Python scripts, which makes it useful for custom monitoring, robotics dashboards, automation, and diagnostics. Developers working with embedded AI systems can use it to understand performance limits and troubleshoot hardware behavior during deployment. ... -
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LLM Telegram Bot
A Telegram bot for Large Language Models
...The project is designed to provide a customizable AI assistant that can operate within Telegram conversations, supporting dynamic responses based on user input and configurable parameters. It includes features such as conversation memory, allowing the bot to maintain context across multiple messages and provide more coherent responses. The system supports multiple modes or personas, enabling users to switch between different conversational styles or use cases. It also allows fine-tuning of generation parameters such as temperature and token limits, giving users control over response behavior. ... -
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eduOS-rs
A teaching operating system written in Rust
eduOS-rs is a teaching operating system written in Rust, developed by RWTH Aachen University to support courses on systems programming and operating systems. It serves as a practical and educational tool that demonstrates key OS concepts like memory management, multitasking, privilege separation, and system call handling in a safe and modern language. Designed to run on x86_64 hardware using QEMU, eduOS-rs leverages Rust’s ownership model and type safety to reduce bugs common in low-level systems development. It is a valuable resource for students and instructors alike, providing clear, structured examples of kernel development. -
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CGL
CGL (C Game Library) is a multipurpose library
cgl is a compact, header-only C graphics library for 2D drawing operations using software rendering. Designed for simplicity and portability, cgl allows rendering of primitives such as lines, circles, triangles, and text to an in-memory framebuffer, which can then be displayed with any platform-dependent backend. It’s ideal for building custom engines, retro-style games, GUIs, or educational demos where GPU acceleration is not required. Its small footprint and lack of external dependencies make it easy to embed in any C project. -
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PEFT
State-of-the-art Parameter-Efficient Fine-Tuning
Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's parameters. Fine-tuning large-scale PLMs is often prohibitively costly. In this regard, PEFT methods only fine-tune a small number of (extra) model parameters, thereby greatly decreasing the computational and storage costs. Recent State-of-the-Art PEFT techniques achieve performance comparable to that of full... -
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dashdot
A simple, modern server dashboard
dashdot is a modern server dashboard primarily used by smaller private servers, offering real-time monitoring of system metrics through a sleek and customizable web interface. -
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Windrecorder
Windrecorder is a memory search app by records everything
Windrecorder is an open-source personal memory search engine that continuously records on-screen activity in a highly optimized and storage-efficient format. It captures screen content locally and builds a searchable database using OCR and image understanding, allowing users to rewind and rediscover anything they have previously seen. The system indexes only meaningful visual changes, extracting text, browser data, and contextual information to improve search accuracy and reduce storage overhead. ... -
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Rust Training Books
Beginner, advanced, expert level Rust training material
...The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively reading documentation. It reflects Rust’s core philosophy of safety and performance, helping developers understand how to write efficient and memory-safe applications. The repository is organized in a modular way, allowing learners to progress step by step while reinforcing concepts through exercises and real-world scenarios. It is suitable for both beginners transitioning from other languages and experienced developers seeking deeper understanding of Rust’s unique paradigms. -
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MaiBot
Maimaibot, a (more focused) multi-platform intelligent agent
...It can generate responses that imitate human speech patterns, learn slang or expressions from chat participants, and adapt its conversational style based on previous interactions. The architecture includes a memory system that stores conversation history and contextual information, allowing the bot to recall previous events and maintain continuity in discussions. -
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fnm
Fast and simple Node.js version manager, built in Rust
fnm (Fast Node Manager) is a blazing-fast, minimalist Node.js version manager written in Rust. It allows users to install and switch between Node.js versions with near-instant startup, supports .nvmrc and .node-version files, and offers easy cross-platform installation. It’s significantly faster than traditional bash-based managers. -
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
...The fluctuations in stock prices are driven by the forces of supply and demand, which can be unpredictable at times. To identify patterns and trends in stock prices, deep learning techniques can be used for machine learning. Long short-term memory (LSTM) is a type of recurrent neural network (RNN) that is specifically designed for sequence modeling and prediction. -
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Model Explorer
A modern model graph visualizer and debugger
Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments. -
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Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency. -
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EfficientDynamoDb
High-performance C# DynamoDb library
EfficientDynamoDb is a high-performance, low-level DynamoDB client for .NET, designed to offer better efficiency and flexibility compared to AWS's official SDK. It provides improved memory management, reduced allocations, and a fluent API for seamless integration with DynamoDB services.
