Search Results for "memory usage" - Page 4
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Showing 526 open source projects for "memory usage"
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DeepEP
DeepEP: an efficient expert-parallel communication library
...Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP addresses that by providing optimized GPU kernels and efficient dispatch/combining logic. The library also supports low-precision operations (such as FP8) to reduce memory and bandwidth usage during communication. DeepEP is aimed at large-scale model inference or training systems where expert parallelism is used to scale model capacity without replicating entire networks. -
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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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Qwen-Agent
Agent framework and applications built upon Qwen>=3.0
Qwen-Agent is a framework for building applications / agents using Qwen models (version 3.0+). It provides components for instruction following, tool usage (function calling), planning, memory, RAG (retrieval augmented generation), code interpreter, etc. It ships with example applications (Browser Assistant, Code Interpreter, Custom Assistant), supports GUI front-ends, backends, server setups. Agent workflow can maintain context / memory to perform multi-turn or more complex logic over time. ... -
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Unsloth Studio
Unified web UI for training and running open models locally
Unsloth Studio is a web-based interface for running and training AI models locally with a unified and user-friendly experience. It allows users to work with a wide range of models for text, audio, vision, embeddings, and more without relying heavily on cloud infrastructure. Built on top of the Unsloth framework, it focuses on high-performance training with reduced VRAM usage and faster speeds compared to traditional methods. The platform supports fine-tuning, pretraining, and reinforcement... -
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FlexLLMGen
Running large language models on a single GPU
...The system focuses on high-throughput generation workloads where large batches of text must be processed quickly, such as large-scale data extraction or document analysis tasks. Instead of requiring expensive multi-GPU systems, the framework uses techniques such as memory offloading, compression, and optimized batching to run large models on commodity hardware. The architecture distributes computation and memory usage across the GPU, CPU, and disk in order to maximize the number of tokens processed during inference. This design allows organizations to deploy powerful language models for high-volume tasks without the infrastructure costs typically associated with large-scale AI systems. ... -
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codex-orange-book
A Full-Link Guide to Using Codex from Installation to Real-World Cases
...The guide covers installation, configuration, core concepts, standard workflows, practical examples, and extension paths. It explains Codex App, Codex CLI, Codex IDE Extension, Codex Web, cloud workflows, Skills, MCP, Git, GitHub, automation, and memory-related usage. It is aimed at developers, independent builders, AI tool users, and technical teams that want a structured way to adopt Codex. Overall, it functions as a practical handbook for moving from basic Codex setup to real project execution and review-ready deliverables. -
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sp_WhoIsActive
sp_whoisactive
sp_WhoIsActive is a comprehensive activity monitoring stored procedure that works for all versions of SQL Server from 2005 through 2022 and Azure SQL DB. sp_whoisactive is a SQL Server stored procedure for monitoring active queries and troubleshooting database performance issues. -
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Claude Cognitive
Persistent context and multi-instance coordination
Claude Cognitive is an advanced memory and context-management extension designed to address the stateless limitations of Claude Code by giving the model a form of persistent “working memory” and multi-instance coordination. It introduces an attention-based context router that prioritizes files and content relevant to the current development discussion — tagging them as HOT, WARM, or COLD based on recency and keyword activation — so Claude Code doesn’t waste token budget rereading irrelevant code. ... -
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Eclipse Collections
Eclipse Collections is a collections framework for Java
...Many container types include immutable collections, primitive collections, bimaps, multimaps and bags. You can make use of various container types, leveraging handy factory methods for instantiation. Eclipse Collections provides a memory-efficient implementation of Sets and Maps as well as primitive collections. Check out the Eclipse Collections Kata, a fun way to help you learn idiomatic Eclipse Collections usage. This particular kata is set up as a series of unit tests that fail. Your task is to make them pass, using Eclipse Collections. -
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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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pg_activity
pg_activity is a top like application for PostgreSQL server activity
Command line tool for PostgreSQL server activity monitoring. pg_activity is a PostgreSQL monitoring tool that provides real-time insights into database performance, helping database administrators manage and troubleshoot PostgreSQL instances. -
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JetCache
JetCache is a Java cache framework
JetCache is a Java cache abstraction that provides uniform usage for different caching solutions. It provides more powerful annotations than those in Spring Cache. The annotations in JetCache support native TTL, two-level caching, and automatically refresh in distributed environments, also you can manipulate Cache instances by your code. Currently, there are four implementations: RedisCache, TairCache(not open source on github), CaffeineCache (in memory) and a simple LinkedHashMapCache (in memory). -
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Genji
Document-oriented, embedded SQL database
...Run powerful queries on rich documents with an expressive SQL syntax. Create tables with strict schemas, partial schemas, or no schemas at all to control your data the way you want it. Fully serializable transactions, in-memory mode, memory usage control, and more. Genji was designed for simplicity in mind. It is really easy to insert and read documents of any shape. Genji mixes the best of both worlds by combining powerful SQL commands with JSON. Genji tables are schemaless, but it is possible to add constraints on any field to ensure the coherence of data within a table. -
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Node Archiver
a streaming interface for archive generation
Archiver is a Node.js library that provides a streaming interface for creating archive files in various formats, such as ZIP and TAR, supporting multiple compression methods. -
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Wink-NLP
Developer friendly Natural Language Processing
Wink-NLP is a lightweight and fast natural language processing library for JavaScript, optimized for browser and Node.js environments. -
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Pyreft
ReFT: Representation Finetuning for Language Models
PyreFT is a tool by Stanford NLP for fine-tuning transformer models with an emphasis on efficient, resource-conserving training and customizability for NLP tasks. -
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psutil
Cross-platform lib for process and system monitoring in Python
psutil is a widely adopted cross-platform Python library designed to retrieve detailed information about system utilization and running processes in a consistent and programmatic way. It exposes a rich API that allows developers to inspect CPU usage, memory consumption, disk activity, network statistics, and hardware sensors without relying on platform-specific tools. The library effectively replicates and unifies the capabilities of classic UNIX utilities such as ps, top, netstat, and free, making it especially valuable for monitoring, profiling, and process management workflows. ... -
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HTTP Client
Async HTTP/1.1+2 client for PHP based on Amp
...Its API simplifies standards-compliant HTTP resource traversal and RESTful web service consumption without obscuring the underlying protocol. The library manually implements HTTP over TCP sockets; as such it has no dependency on ext/curl. Streams entity bodies for memory management with large transfers. Supports all standard and custom HTTP method verbs. Simplifies HTTP form submissions. Implements secure-by-default TLS. Supports cookies and sessions. Functions seamlessly behind HTTP proxies. Additionally, you might want to install the nghttp2 library to take advantage of FFI to speed up and reduce the memory usage on PHP 7.4. ... -
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SAM 2
The repository provides code for running inference with SAM 2
SAM2 is a next-generation version of the Segment Anything Model (SAM), designed to improve performance, generalization, and efficiency in promptable image segmentation tasks. It retains the core promptable interface—accepting points, boxes, or masks—but incorporates architectural and training enhancements to produce higher-fidelity masks, better boundary adherence, and robustness to complex scenes. The updated model is optimized for faster inference and lower memory use, enabling real-time... -
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GenericAgent
Self-evolving autonomous agent framework
The GenericAgent project is a flexible framework for building autonomous AI agents that can operate across diverse tasks and environments. It is designed around modularity, allowing developers to define agents with interchangeable components such as tools, memory systems, and reasoning strategies. The architecture emphasizes generality, enabling the same agent framework to be adapted for different domains including coding, research, and task automation. It integrates with modern language... -
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VK-GL-CTS
Khronos Vulkan, OpenGL, and OpenGL ES Conformance Tests
...These tests are essential for vendors seeking certification, as they rigorously check the correctness and completeness of driver implementations against standardized behavior. The suite contains thousands of automated tests that assess rendering accuracy, API behavior, memory usage, and performance consistency. It is widely used by GPU vendors and developers to ensure compatibility, stability, and reliability across platforms and hardware. -
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PowerInfer
High-speed Large Language Model Serving for Local Deployment
PowerInfer is a high-performance inference engine designed to run large language models efficiently on personal computers equipped with consumer-grade GPUs. The project focuses on improving the performance of local AI inference by optimizing how neural network computations are distributed between CPU and GPU resources. Its architecture exploits the observation that only a subset of neurons in large models are frequently activated, allowing the system to preload frequently used neurons into... -
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JMX Exporter
A process for exposing JMX Beans via HTTP for Prometheus consumption
...It can be also run as a standalone HTTP server and scrape remote JMX targets, but this has various disadvantages, such as being harder to configure and being unable to expose process metrics (e.g., memory and CPU usage). Running the exporter as a Java agent is strongly encouraged. -
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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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django-health-check
a pluggable app that runs a full check on the deployment
...If you are monitoring health in a high-availability environment with a load balancer that returns responses from multiple nodes, please note that certain checks (e.g., disk and memory usage) will return responses specific to the node selected by the load balancer.
