Search Results for "memory" - Page 16
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Showing 2497 open source projects for "memory"
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LLM-Finetuning
LLM Finetuning with peft
...These tutorials show how developers can adapt pretrained models for tasks such as chatbots, classification, and instruction following. The project also illustrates how low-precision training techniques and adapter-based methods reduce memory requirements while maintaining strong model performance. -
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NeoHtop
Blazing-fast system monitoring for your desktop
NeoHtop is a modern, high-performance system monitoring application that reimagines the classic htop experience using contemporary technologies such as Rust, Tauri, and Svelte. It provides real-time visibility into running processes, CPU load, and memory usage through a visually polished desktop interface designed for speed and clarity. Unlike traditional terminal monitors, neohtop emphasizes usability with advanced search capabilities, process pinning, and dynamic sorting, allowing users to quickly identify resource-intensive workloads. The application supports dark and light themes and auto-refreshes system statistics to maintain an always-current operational view. ... -
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SkillKit
Supercharge AI coding agents with portable skills
SkillKit is a developer-centric toolkit for constructing modular, reusable AI agent skills and integrating them into workflows, platforms, and applications with minimal overhead. It provides a set of abstractions, templates, helper utilities, and patterns that help developers define intents, actions, context handling, memory management, and multi-step logic so that skills can be built once and reused everywhere. Instead of reinventing the wheel every time a new conversational or automation feature is needed, SkillKit encourages engineers to encapsulate logic into coherent skill units that can be registered, tested, and composed together. It supports integration with common agent runtimes and toolkits, allowing skills to be plugged into existing architectures without requiring deep infrastructure rewrites. ... -
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claude-reflect
A self-learning system for Claude Code that captures corrections
...It watches what you correct Claude about — such as preferring a particular model, style, or workflow — and automatically queues those learnings, then lets you review and sync them back into configuration files like CLAUDE.md and agent definitions so Claude remembers them across sessions. Over time, this creates a personalized memory that helps the AI align more closely with your conventions, avoiding repeated misunderstandings and reducing friction in long-running or recurring tasks. In addition to capturing corrections, claude-reflect analyzes session history to identify repeated patterns and propose reusable commands or workflows, which can be converted into skills that accelerate productivity. -
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ngraph.path
Path finding in a graph
...It can be integrated with visualization libraries like VivaGraphJS to animate or highlight computed paths in a rendered graph, enabling interactive routing features. Its data structures and algorithm choices are optimized for performance and memory efficiency, so even large meshes or road networks can be navigated interactively. With its standalone design, ngraph.path can be used in browser apps, server-side Node.js services. -
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lilliput
Resize images and animated GIFs in Go
Lilliput is a lightweight image codec and processing library tailored for environments where performance, portability, and resource efficiency are critical, such as gaming clients, real-time applications, or systems with constrained memory budgets. Designed to support fast decoding and manipulation of common image formats like PNG, JPEG, WebP, and BMP, Lilliput is engineered to minimize dependencies and be easily integrated into a variety of C/C++-based projects without pulling in heavy external libraries. The library provides APIs for scaling, resizing, color conversions, and basic image operations that are crucial for performance-sensitive applications that need to display or transform images on the fly. ... -
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php-file-iterator
FilterIterator implementation that filters files
...Exclusion lists help you skip vendor directories, VCS folders, or generated artifacts that would otherwise slow down tools. The iterator interface means results are streamed rather than loaded at once, which keeps memory usage modest on large codebases. It also plays nicely with glob patterns and SPL iterators, so you can combine it with other filesystem utilities. As part of the PHPUnit tooling suite, it’s optimized for speed and predictable behavior across platforms. -
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Counter
Web Analytics made simple
...The backend is designed to be resource-light while still providing the essential metrics teams care about, such as page views, referrers, and basic geography. Rather than storing everything in a monolithic database, it combines a fast in-memory store for hot data with archival to a traditional SQL store for long-term retention. The client snippet is tiny and cookieless, which helps reduce layout shift and keeps page performance high. Because it’s a small Go service with a straightforward architecture, it can be self-hosted easily and integrated into existing stacks. The philosophy is to deliver “just enough” analytics for dashboards and reporting without the overhead or tracking footprint of big-box platforms. -
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llm.c
LLM training in simple, raw C/CUDA
llm.c is a minimalist, systems-level implementation of a small transformer-based language model in C that prioritizes clarity and educational value. By stripping away heavy frameworks, it exposes the core math and memory flows of embeddings, attention, and feed-forward layers. The code illustrates how to wire forward passes, losses, and simple training or inference loops with direct control over arrays and buffers. Its compact design makes it easy to trace execution, profile hotspots, and understand the cost of each operation. Portability is a goal: it aims to compile with common toolchains and run on modest hardware for small experiments. ... -
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ET
Unity3D Client And C# Server Framework
...It emphasizes modular component design, networking, and automated tooling (e.g. test case generation, code scaffolding) to lighten the burden of writing game logic and server infrastructure. Modular component design allowing server modules to be composed based on role (e.g. memory, routing, services). AI-integrated tooling: supports auto-generation of logic, robot test cases, code compilation and execution in closed loop. -
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Corosync Cluster Engine
The Corosync Cluster Engine
...A closed process group communication model with extended virtual synchrony guarantees for creation of replicated state machines. A simple availability manager that restarts the application process when it has failed. A configuration and statistics in-memory database that provides the ability to set, retrieve, and receive change notifications of information. A quorum system that notifies applications when a quorum is achieved or lost. Our project is used as a high-availability framework by projects such as Pacemaker and Asterisk. We are always looking for developers or users interested in clustering or participating in our project. -
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Taipy
Turns Data and AI algorithms into production-ready web applications
...Taipy enhances performance with caching control of graphical events, optimizing rendering by selectively updating graphical components only upon interaction. Effortlessly manage massive datasets with Taipy's built-in decimator for charts, intelligently reducing the number of data points to save time and memory without losing the essence of your data's shape. Struggle with sluggish performance and excessive memory usage, as every data point demands processing. Large datasets become cumbersome, complicating the user experience and data analysis. Scenarios are made easy with Taipy Studio. A powerful VS Code extension that unlocks a convenient graphical editor. ... -
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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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PyBoy
Game Boy emulator written in Python
...It allows users to run classic Game Boy games while providing a powerful API for automation, scripting, and reinforcement learning. Developers can interact directly with game memory, inputs, and screen data, making it ideal for training bots and analyzing game mechanics. PyBoy emphasizes performance, enabling accelerated emulation speeds and frame skipping for large-scale simulations. It integrates with tools like OpenAI Gym, allowing seamless use in machine learning workflows. Overall, PyBoy is a versatile emulator that bridges retro gaming with modern AI development and research. -
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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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GridDB
GridDB is a next-generation open source database
...Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
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Netty-socketio
Socket.IO server implemented on Java
...YourKit is kindly supporting this open source project with its full-featured Java Profiler. YourKit, LLC is the creator of innovative and intelligent tools for profiling Java and .NET applications. CentOS, 1 CPU, 4GB RAM runned on VM, CPU 10%, Memory 15%, 6000 xhr-long polling sessions or 15000 websockets sessions, 4000 messages per second. -
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Flowise
Drag & drop UI to build your customized LLM flow
Open source UI visual tool to build your customized LLM flow using LangchainJS, written in Node Typescript/Javascript. Conversational agent for a chat model which utilizes chat-specific prompts and buffer memory. Open source is the core of Flowise, and it will always be free for commercial and personal usage. Flowise support different environment variables to configure your instance. You can specify the following variables in the .env file inside the packages/server folder. -
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Okio
A modern I/O library for Android, Java, and Kotlin Multiplatform
Okio is a low-level I/O library created by Square for Java and Kotlin that simplifies and optimizes data access. It provides a modern alternative to Java’s InputStream and OutputStream, enabling efficient, buffered, and chainable data handling. Okio is used in many high-performance networking and serialization libraries, including OkHttp. -
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ChatGLM.cpp
C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & GLM4(V)
ChatGLM.cpp is a C++ implementation of the ChatGLM-6B model, enabling efficient local inference without requiring a Python environment. It is optimized for running on consumer hardware. -
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Objeck
Objeck is a modern object-oriented programming language
General-purpose object-oriented and functional programming language. Designed to be intuitive, lightweight, cross-platform and fast. The Objeck compiler produces two types of binaries. The first is an executable and the second type is a library. Libraries can be linked into executables by passing the names of libraries to the compiler. Objeck can be built for a variety of targets. The language is implemented in C++, assembly (i.e., generated machine code) and assisted by code generators for... -
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Nvitop
An interactive NVIDIA-GPU process viewer and beyond
nvitop is an interactive NVIDIA device and process monitoring tool. It has a colorful and informative interface that continuously updates the status of the devices and processes. As a resource monitor, it includes many features and options, such as tree-view, environment variable viewing, process filtering, process metrics monitoring, etc. Beyond that, the package also ships a CUDA device selection tool nvisel for deep learning researchers. It also provides handy APIs that allow developers... -
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zlib-ng
zlib replacement with optimizations for "next generation" systems
zlib data compression library for the next-generation systems. Zlib-compatible API with support for dual-linking. Modernized native API based on zlib API for ease of porting. Modern C11 syntax and a clean code layout. Deflate medium and quick algorithms based on Intel’s zlib fork. -
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Kubernetes Autoscaler
Autoscaling components for Kubernetes
...Supports several public cloud providers. Version 1.0 (GA) was released with kubernetes 1.8. Vertical Pod Autoscaler, a set of components that automatically adjust the amount of CPU and memory requested by pods running in the Kubernetes Cluster. Addon Resizer, a simplified version of vertical pod autoscaler that modifies resource requests of a deployment based on the number of nodes in the Kubernetes Cluster. -
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AgentScope Java
Agent-Oriented Programming for Building LLM Applications
...It also supports human-in-the-loop intervention, allowing developers or users to inject guidance at any point during reasoning while preserving state and tool context. Built with enterprise needs in mind, AgentScope Java integrates into traditional Java stacks and provides structured abstractions for memory, workflows, and tool invocation.
