Search Results for "compact" - Page 5
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Showing 732 open source projects for "compact"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Convert to it!
Truly universal online file converter
...The tool is intended to be composable, meaning it can be integrated into larger workflows without imposing complex runtime requirements. Because it is open source and relatively compact, it serves both as a usable utility and as a reference implementation for building custom converters. -
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Marksheet
Free tutorial to learn HTML and CSS
...The writing style aims to demystify jargon and teach a consistent vocabulary so learners can understand documentation and tutorials elsewhere. It includes diagrams and compact examples that illustrate concepts without burying readers in boilerplate. The material emphasizes progressive mastery, encouraging learners to build small pages and refine them with better structure and style. It’s a useful reference to revisit after your first projects, reinforcing fundamentals that make larger frameworks easier to learn later. -
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uemacs
Random version of microemacs with my private modificatons
uemacs is Linus Torvalds’ compact take on MicroEMACS, a tiny, fast, terminal-friendly text editor. The codebase prizes simplicity and portability, making it feasible to build and run on a variety of Unix-like systems without heavyweight dependencies. Its feature set is deliberately modest compared to full Emacs, favoring a quick, predictable editing experience for everyday text manipulation. -
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Flash Linux 0.11 Talk
Annotated Unix system source code
flash-linux0.11-talk is an annotated walkthrough of the Linux 0.11 kernel that explains how a tiny Unix-like system boots, schedules, handles interrupts, and manages memory. The materials break down historically compact and dense code into digestible segments, with diagrams and call flows that trace execution from bootloader to user space. By focusing on a small, early kernel, the series reveals core OS concepts without the complexity of modern subsystems. It highlights how segmentation and paging cooperate, how system calls are dispatched, and how context switches and signals work in practice. ... -
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S.U.P.E.R.M.A.N.
S.U.P.E.R.M.A.N. optimizes the macOS software update experience
super is a compact, high-performance tiling window manager for macOS that offers keyboard-driven workflow efficiency similar to tiling window managers found in Linux environments like i3 or dwm. Written in Swift, super leverages macOS APIs to allow users to manage windows in grid-like patterns, enabling rapid arrangement, resizing, and navigation without reaching for the mouse. -
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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. -
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GLSMAC
Open-source OpenGL/SDL2 reimplementation of Sid Meier's Alpha Centauri
glsmac is a compact C99 library designed to simplify OpenGL development on macOS by creating a minimal, no-dependency window and OpenGL context setup. It uses only macOS's native APIs (Cocoa and Core OpenGL) without relying on third-party frameworks like GLFW or SDL. This makes it ideal for developers who want tight control over their OpenGL projects, need a lightweight setup for demos or testing, or are writing small graphical utilities without overhead. -
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httplog
Log outgoing HTTP requests in ruby
Log outgoing HTTP requests made from your application. Helps with debugging pesky API error responses, or just generally understanding what's going on under the hood. In theory, it should also work with any library built on top of these. But the difference between theory and practice is bigger in practice than in theory. This is very much a development and debugging tool; it is not recommended to use this in a production environment as it is monkey-patching the respective HTTP... -
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Machine learning algorithms
Minimal and clean examples of machine learning algorithms
...The repository includes implementations of both supervised and unsupervised learning techniques, along with dimensionality reduction and clustering methods. Many of the algorithms are written in a simplified style that prioritizes clarity and educational value over production-level optimization. Because the code is compact and easy to follow, it is often used as a learning resource by developers who want to understand how machine learning algorithms are constructed. -
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Nano-vLLM
A lightweight vLLM implementation built from scratch
...The project recreates the core functionality of vLLM in a simplified architecture written in approximately a thousand lines of Python, making it easier for developers and researchers to understand how modern LLM inference systems work. Despite its compact design, nano-vllm incorporates advanced optimization techniques such as prefix caching, tensor parallelism, and CUDA graph execution to achieve high performance during model inference. The engine is intended primarily for educational use, experimentation, and lightweight deployments where a full production-grade inference stack may be unnecessary. ... -
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ChatGLM3
ChatGLM3 series: Open Bilingual Chat LLMs | Open Source Bilingual Chat
...The family includes base and long-context variants (8K/32K/128K). The repo ships Python APIs, CLI and web demos (Gradio/Streamlit), an OpenAI-format API server, and a compact fine-tuning kit. Quantization (4/8-bit), CPU/MPS support, and accelerator backends (TensorRT-LLM, OpenVINO, chatglm.cpp) enable lightweight local or edge deployment. -
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nanoGPT
The simplest, fastest repository for training/finetuning models
NanoGPT is a minimalistic yet powerful reimplementation of GPT-style transformers created by Andrej Karpathy for educational and research use. It distills the GPT architecture into a few hundred lines of Python code, making it far easier to understand than large, production-scale implementations. The repo is organized with a training pipeline (dataset preprocessing, model definition, optimizer, training loop) and inference script so you can train a small GPT on text datasets like Shakespeare... -
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Dinky
Dinky makes files smaller
...Dinky also emphasizes speed, enabling rapid iteration cycles that are essential for prompt engineering and prototyping. Its design avoids unnecessary complexity while still providing enough functionality for practical use. Overall, Dinky serves as a compact and efficient tool for exploring and testing AI-driven interactions. -
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AssemblyScript
A TypeScript-like language for WebAssembly
...It introduces static typing and low-level control while maintaining compatibility with existing JavaScript tooling and workflows. The language is optimized for generating efficient and compact WebAssembly modules, making it suitable for performance-critical applications in both browser and server environments. Its design bridges the gap between high-level scripting and low-level execution, allowing developers to achieve near-native performance without switching to languages like C or Rust. AssemblyScript integrates with the WebAssembly ecosystem, enabling seamless interaction with JavaScript through standard APIs. ... -
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ReMe
Memory Management Kit for Agents
ReMe is a memory management kit for AI agents that gives them structured, persistent memory capabilities, enabling agents to extract, store, and reuse information across sessions, tasks, and interactions. It is designed to support long-running agent workflows where context matters and working memory alone isn’t enough, helping agents remember user preferences, task histories, and relevant past observations. The toolkit provides APIs to offload large, ephemeral outputs to external storage and... -
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mapcn
Beautiful map components, 100% Free, Zero config, one command setup
...It explores how high-dimensional action spaces can be decomposed into structured primitives that can be learned, composed, and reused across different tasks. The core idea is to enable agents to generalize learned behavior by representing continuous control policies in a compact, interpretable form that preserves smoothness and controllability. The project includes implementations that experiment with policy encoding, action decomposition techniques, and sample efficiency analysis in classic reinforcement learning environments. By organizing action outputs into meaningful, lower-dimensional manifolds, MapCN attempts to improve both learning convergence and transfer performance when compared to unguided continuous control baselines. -
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Monty
A minimal, secure Python interpreter written in Rust for use by AI
...It prioritizes guardrails like resource limits and restricted capabilities, which is especially useful for agentic workflows that need to execute small pieces of Python for data transforms, validation, or tool-like computations. Because it’s written in Rust, it’s positioned to deliver a compact, portable runtime that can be embedded into larger systems that need dependable isolation. -
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LatentMAS
Latent Collaboration in Multi-Agent Systems
LatentMAS is an advanced framework for multi-agent reinforcement learning (MARL) that uses latent variable modeling to bridge perception and decision-making in environments where agents must coordinate under uncertainty. It provides mechanisms for agents to learn high-level latent representations of states, which simplifies complex sensory inputs into compact, actionable embeddings that facilitate both individual policy learning and inter-agent coordination. Using this latent space, the framework enables Multi-Agent Systems (MAS) to scale more effectively in environments with high dimensionality — such as robotics, simulated physics tasks, and strategic games — by reducing redundant learning burdens and focusing agent exploration. ... -
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Beads Viewer
Task management system for coding agents
...It supports dynamic interactions such as zooming, filtering by criteria, selecting subgroups, and exporting views for reports or slides. Because bead plots can encode a significant amount of information in compact visuals, Beads Viewer includes customizable styling options — such as coloring by category, adjusting bead size and spacing, and toggling axis representations — to help tailor visuals to specific analytical needs. -
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TONL
TONL (Token-Optimized Notation Language)
TONL is a cutting-edge data platform built around a production-ready serialization format designed to be both compact and powerful, combining human readability with performance features that make it suitable for large-scale applications and AI workflows. It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. -
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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 class. ... -
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HY-MT
Hunyuan Translation Model Version 1.5
HY-MT (Hunyuan Translation) is a high-quality multilingual machine translation model suite developed to support mutual translation across dozens of languages with strong performance even at smaller model scales. It ships with both an 1.8 B parameter model and a larger 7 B model, the latter optimized not only for direct translation but also for formatted and contextualized output, allowing better handling of terminology and mixed-language content. The project emphasizes both speed and... -
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nanocode
Minimal Claude Code alternative. Single Python file, zero dependencies
nanocode is a minimalist coding agent implementation designed as a compact alternative to Claude Code, packaged in a single Python file with no external dependencies and totaling around 250 lines of code. It implements a full agentic loop where the model can reason, decide when to use tools, execute those tools, and iterate until producing a final answer, making it useful for simple AI-assisted coding workflows. -
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NovaSR
A lightning fast audio upsampler
...At only about 50 KB in size, the model is orders of magnitude smaller than typical audio super-resolution networks, yet it achieves high quality and realtime performance thanks to its compact architecture and efficient convolutional design. NovaSR is especially valuable for post-processing tasks in speech enhancement, TTS pipelines, and dataset restoration where low sampling rates degrade perceived audio clarity; the minimal model size also makes it suitable for edge and embedded use cases where memory is at a premium. ... -
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timelinize
Store your data from all your accounts and devices
...The project emphasizes simplicity and flexibility by letting contributors focus on the data — defining dates, labels, descriptions, links, and media — while timelinize handles rendering, layout, and interactivity in a polished browser experience. It supports multiple visualization styles, such as chronological horizontal views and compact vertical modes, so you can tailor output to fit different screen sizes and content density. With automatic linking between events and optional categories or tags, timelines become easier to navigate and filter for large datasets, making this tool practical for history projects, product roadmaps, research archives, or personal journals.
