Search Results for "size" - Page 13
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Showing 2278 open source projects for "size"
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Step3-VL-10B
Multimodal model achieving SOTA performance
Step3-VL-10B is an open-source multimodal foundation model developed by StepFun AI that pushes the boundaries of what compact models can achieve by combining visual and language understanding in a single architecture. Despite having only about 10 billion parameters, it delivers performance that rivals or even surpasses much larger models (10×–20× larger) on a wide range of multimodal benchmarks covering reasoning, perception, and complex tasks, positioning it as one of the most powerful... -
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Kilo
A text editor in less than 1000 LOC with syntax highlight and search
...It was created by Salvatore Sanfilippo (antirez, also known for Redis) as an exercise in writing a small, self-contained editor that others can study and extend. Despite its tiny size, Kilo supports core editor features like opening and saving files, incremental search, and basic syntax highlighting. It deliberately avoids external dependencies, not even using curses; instead it talks directly to the terminal using VT100 escape sequences, making it portable to most Unix-like systems with a compatible terminal. ... -
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RealWorld
Exemplary fullstack Medium.com clone powered by React, Angular, Node
...This makes the repo a powerful teaching tool for architecture, state management, testing, and deployment patterns at production scale. Teams also use it to evaluate new frameworks by building “yet another RealWorld” and measuring DX, bundle size, and maintainability. -
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Flogger
A Fluent Logging API for Java
...Its fluent style reduces boilerplate and guides developers toward consistent log levels, formatting, and metadata. Because it’s designed for large codebases, Flogger emphasizes performance, binary size discipline, and compatibility with existing logging infrastructures. -
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MobileLLM
MobileLLM Optimizing Sub-billion Parameter Language Models
...The framework integrates several architectural innovations—SwiGLU activation, deep and thin network design, embedding sharing, and grouped-query attention (GQA)—to achieve a superior trade-off between model size, inference speed, and accuracy. MobileLLM demonstrates remarkable performance, with the 125M and 350M variants outperforming previous state-of-the-art models of the same scale by up to 4.3% on zero-shot commonsense reasoning tasks. -
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Fast-Kubernetes
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment
Fast-Kubernetes is a practical, hands-on repository that explains Kubernetes concepts and walks users through dozens of bite-size labs and examples. The content is organized as Markdown how-tos and cheat-sheets covering core objects and workflows — Pods, Deployments, Services, ConfigMaps, Secrets, PV/PVC, StatefulSets, DaemonSets, Jobs/CronJobs, Ingress, affinity/taints, and more — plus command-line kubectl quick references. It also includes end-to-end cluster setup guides (kubeadm with containerd or Docker, Minikube examples), Helm and CI/CD notes (Helm + Jenkins lab), and monitoring guidance with Prometheus & Grafana so learners can practice real operational tasks. ... -
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export_fig
A MATLAB toolbox for exporting publication quality figures
export_fig is a MATLAB toolbox designed to simplify high-quality figure export from MATLAB, faithfully preserving visual appearance as seen on-screen—including size, colours, fonts, and layout—while offering precise control over output formats such as PNG, PDF, EPS, and more. Exporting a figure from MATLAB the way you want it (hopefully the way it looks on screen), can be a real headache for the unitiated, thanks to all the settings that are required, and also due to some eccentricities (a.k.a. features and bugs) of functions such as print. ... -
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frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models
Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can... -
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Pulley
A library to imitate the iOS 10 Maps UI
...The base functionality should work without any significant changes. The biggest change is the new display mode of .compact to replicate Apple Maps Behavior on the iPhone SE size class devices. Pulley is an easy to use drawer library meant to imitate the drawer in iOS 10/11's Maps app. It exposes a simple API that allows you to use any UIViewController subclass as the drawer content or the primary content. -
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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Segments.ai
Segments.ai Python SDK
Multi-sensor labeling platform for robotics and autonomous vehicles. The platform for fast and accurate multi-sensor data annotation. Label in-house or with an external workforce. Intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Obtain segmentation labels, vector labels, and more. Our labeling interfaces are set up to label fast and precise. Powerful ML assistance lets you label faster and reduce costs. Integrate data labeling into your existing ML... -
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hindent
Haskell pretty printer
Haskell pretty printer. hindent is used in a pipeline style. The default indentation size is 2 spaces. Create a hindent.yaml file in your project directory or in your ~/ home directory. By default, hindent preserves the newline or lack of newline in your input. With force-trailing-newline, it will make sure there is always a trailing newline. hindent can be forced to insert a newline before specific operators and tokens with line-breaks. -
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Reposilite
Lightweight and easy-to-use repository management software
...To run Reposilite for your personal needs you should assign around 20MB of RAM and at least Java 11+ installed. For huge public repositories, you can adjust the memory limit and even the size of used thread pools in the configuration. The recommended tool to develop backend module is IntelliJ IDE, for front end it might be e.g. VSC. Personal access-token-based authorization with configurable routes and permissions. Personal access-token-based authorization with configurable routes and permissions. Exposes dedicated REST API to communicate with repository using external tools. ... -
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Infracost VSCode Extension
See cost estimates for Terraform right in your editor
...Quick cost estimate: write a code block and get a cost estimate without having to use AWS, Azure or Google cost calculators, or read the long/complicated pricing web pages. Catch costly typos: if you accidentally type 22 instead of 2 as the instance count, or 1000GB volume size instead of 100, the cost estimate will immediately pick that up and let you know. See cost estimates right above their Terraform definitions. Infracost's output updates on file save. Both resource and module blocks are supported. 3rd party module blocks are also supported! -
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statik
Embed files into a Go executable
...If you're building a tool that has a Web component, you typically want to serve some images, CSS and JavaScript. You like the comfort of distributing a single binary, so you don't want to mess with deploying them elsewhere. If your static files are not large in size and will be browsed by a few people, statik is the solution you are looking for. statik is a tiny program that reads a directory and generates a source file that contains its contents. The generated source file registers the directory contents to be used by statik file system. In your program, all your need to do is to import the generated package, initialize a new statik file system and serve. -
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qwik
The HTML-first framework. Instant apps of any size with
Qwik does not do hydration because it is resumable. Hydration can take several seconds, depending on the complexity of your application and mobile device speed. Qwik applications are instantly interactive even on slow mobile devices leading to a perfect Google PageSpeed score. Qwik apps begin their life as SSR/SSG. Qwik serializes the application's state and framework state into HTML upon rendering the application. Then Qwik can resume execution where the server left off in the browser... -
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Webpack 5 Boilerplate Template
Simple starter webpack 5 project template
...Start development of a project right away with simple, configured, linter-enabled, browser-synced asset files. Integration with Webpack Bundle Analyzer - Visualize size of webpack output files with an interactive zoomable treemap. Configured and ready to use Webpack Dev Server plugin for faster local development. -
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AriaNg Native
A better aria2 desktop frontend than AriaNg, containing all features
...AriaNg uses a responsive layout and supports any desktop or mobile device. Pure Html & Javascript, no runtime required. Responsive design, supporting desktop and mobile devices. User-friendly interface. Sort tasks (by name, size, progress, remaining time, download speed, etc.), files, and BitTorrent peers. Search tasks. Retry tasks. Adjust task order by dragging. More information on tasks (health percentage, client information of bt peers, etc.) Filter files by specified file types (videos, audio, pictures, documents, applications, archives, etc.) or file extensions. ... -
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Colossal-AI
Making large AI models cheaper, faster and more accessible
The Transformer architecture has improved the performance of deep learning models in domains such as Computer Vision and Natural Language Processing. Together with better performance come larger model sizes. This imposes challenges to the memory wall of the current accelerator hardware such as GPU. It is never ideal to train large models such as Vision Transformer, BERT, and GPT on a single GPU or a single machine. There is an urgent demand to train models in a distributed environment.... -
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cocoyaxi
A go-style coroutine library in C++11 and more
...Multi-thread scheduling, the default number of threads is the number of system CPU cores. Shared stack, coroutines in the same thread share several stacks (the default size is 1MB), and the memory usage is low. Simple test on Linux shows that 10 millions of coroutines only take 2.8G of memory (for reference only). There is a flat relationship between coroutines, and new coroutines can be created from anywhere (including in coroutines). Support system API hook (Windows/Linux/Mac), you can directly use third-party network library in coroutine. -
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Qtum
Qtum Core Wallet
Qtum is a decentralized blockchain project built on Bitcoin's UTXO model, with support for Ethereum Virtual Machine-based smart contracts, and secured by a proof of stake consensus model. It achieves this through the revolutionary Account Abstraction Layer which allows the EVM to communicate with Qtum's Bitcoin-like UTXO blockchain. Welcome to the Qtum Ignition Main Network. This is the main network where the tokens hold value and should be guarded very carefully. If you are testing the... -
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Alternative JSON parser for Go
One of the fastest alternative JSON parser for Go
It does not require you to know the structure of the payload (eg. create structs), and allows accessing fields by providing the path to them. It is up to 10 times faster than standard encoding/json package (depending on payload size and usage), allocates no memory. Originally made for a project that relies on a lot of 3rd party APIs that can be unpredictable and complex. Encoding/json requires you to know exactly your data structures, or if you prefer to use map[string]interface{} instead, it will be very slow and hard to manage. I investigated what's on the market and found that most libraries are just wrappers around encoding/json, there is few options with own parsers (ffjson, easyjson), but they still require you to create data structures. ... -
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stylex-jsx
Full CSS support for JSX without compromises
...Looking for styled-jsx v2? Switch to the v2 branch. Blazing fast and optimized CSS rules injection system based on the CSSOM APIs. Full CSS support, no tradeoffs in power. Runtime size of just 3kb (gzipped, from 12kb). Complete isolation: Selectors, animations, keyframes. Built-in CSS vendor prefixing. Very fast, minimal and efficient transpilation. High-performance runtime-CSS-injection when not server-rendering. Future-proof, equivalent to server-renderable "Shadow CSS". Source maps support. Dynamic styles and themes support. ... -
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Chart.xkcd
xkcd styled chart lib
...A stacked bar chart provides a way of showing data values represented as vertical bars. Display labels near every line (default false). Customize tick numbers you want to see on the main line. You can change size of the dots if you want. -
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thumbor
An open-source photo thumbnail service by globo.com
Open-source smart on-demand image cropping, resizing and filters. Thumbor is a smart imaging service. It enables on-demand crop, resizing and flipping of images. It features a very smart detection of important points in the image for better cropping and resizing, using state-of-the-art face and feature detection algorithms (more on that in Detection Algorithms). Save time and money in your company with Thumbor. With the most advanced face detection technology, Thumbor ensure you to have the... -
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react-window
React components for rendering large lists and tabular data
React window works by only rendering part of a large data set (just enough to fill the viewport). This helps address some common performance bottlenecks. It reduces the amount of work (and time) required to render the initial view and to process updates. It reduces the memory footprint by avoiding over-allocation of DOM nodes. react-window is a complete rewrite of react-virtualized. If react-window provides the functionality your project needs, it is strongly recommend that you use it...
