Search Results for "c source code" - Page 27
Sort By:
Showing 2872 open source projects for "c source code"
View related business solutions-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
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.
-
1
jQuery Terminal
JavaScript library for creating web-based terminals
jQuery Terminal is a JavaScript library for creating command-line interpreters in your applications. You can use this JavaScript Terminal library to create interactive web-based terminal applications on your website. Where commands are defined by you. You can define them on the server or in the browser's JavaScript. It can automatically call JSON-RPC service when the user types a command. Alternatively, you can provide an object with methods; each method will be invoked on the user's command... -
2
Top Deep Learning Projects
A list of popular github projects related to deep learning
TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly... -
3
Flutter Architecture Samples
TodoMVC for Flutter
Flutter Architecture Samples is a curated repository that implements the same app (typically a “todo” app) using various architectural / state management patterns (e.g. BLoC, Redux, Provider, MVC, etc.). Its goal is educational: to help developers compare architecture styles, understand trade-offs, and see best practices in action. You can use the samples in this project as a learning reference, as a roughly apples-to-apples comparison of different approaches, or as a starting point for... -
4
Cats Effect
The pure asynchronous runtime for Scala
Cats-Effect is a high-quality functional programming library for Scala that provides a principled way to represent and manage side effects, particularly asynchronous and concurrent computations. It is part of the broader Typelevel ecosystem and builds on the abstractions from Cats (such as Functor, Monad, etc.). The core abstraction is the IO type (or effect types more generally), which encodes effectful computations in a pure, referentially transparent way. Cats-Effect offers capabilities... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
FL Chart
FL Chart is a highly customizable Flutter chart library
fl_chart is a charting library for Flutter that focuses on expressive, highly customizable data visualizations with smooth animations. It offers a broad set of chart types—line, bar, pie, scatter, and radar—each exposed through clear data/option models rather than imperative drawing. Interactive features like touch handling, tooltips, selection/highlighting, and panning help apps present insights rather than static images. The package pays special attention to aesthetics, with options for... -
6
Flama
Fire up your models with the flame
Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution... -
7
GitHub Workflows Kt
Authoring GitHub Actions workflows in Kotlin
GitHub-workflows-kt is a tool for creating GitHub Actions workflows in a type-safe script, helping you to build robust workflows for your GitHub projects without mistakes, with pleasure, in Kotlin. We're often surrounded by YAML configuration. It's a powerful format that provides a simple syntax for defining hierarchical data, but it is sometimes used (abused?) to configure complicated scenarios which lead to complicated files that are difficult to write and maintain. Who among us hasn't... -
8
Brave
Java distributed tracing implementation compatible with Zipkin backend
Brave is a distributed tracing instrumentation library. Brave typically intercepts production requests to gather timing data, correlate and propagate trace contexts. While typically trace data is sent to Zipkin server, third-party plugins are available to send to alternate services such as Amazon X-Ray. This repository includes dependency-free Java libraries and instrumentation for common components used in production services. For example, this includes trace filters for Servlet and log... -
9
GraphQL Juniper
GraphQL server library for Rust
GraphQL is a data query language developed by Facebook intended to serve mobile and web application frontends. Juniper makes it possible to write GraphQL servers in Rust that are type-safe and blazingly fast. We also try to make declaring and resolving GraphQL schemas as convenient as Rust will allow. Juniper does not include a web server - instead it provides building blocks to make integration with existing servers straightforward. It optionally provides a pre-built integration for the... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
10
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful... -
11
Solid
A declarative JavaScript library for building user interfaces
Solid is a declarative JavaScript library for creating user interfaces. Instead of using a Virtual DOM, it compiles its templates to real DOM nodes and updates them with fine-grained reactions. Declare your state and use it throughout your app, and when a piece of state changes, only the code that depends on it will rerun. Check out our intro video or read on! Fine-grained updates to the real DOM. Declarative data: model your state as a system with reactive primitives. Render-once mental... -
12
Rust-Lightning
Bitcoin Lightning library written in Rust
Rust-Lightning is a Bitcoin Lightning library written in Rust. The main crate, lightning, does not handle networking, persistence, or any other I/O. Thus, it is runtime-agnostic, but users must implement basic networking logic, chain interactions, and disk storage. The project implements all of the BOLT specifications in the 1.0 spec. The implementation has pretty good test coverage that is expected to continue to improve. It is also anticipated that as developers begin using the API, the... -
13
Chokidar
Minimal and efficient cross-platform file watching library
Chokidar is a solution for all the users of Node.js fs.watch who are tired of it not reporting filenames on MacOS and events at all when using editors like Sublime on MacOS. Node.js fs.watch often reports events twice, emits most changes as rename, and it does not provide an easy way to recursively watch file trees nor supports recursive watching on Linux. Same as with Node.js fs.watchFile. Therefore, Chokidar resolves these problems. Initially made for Brunch (an ultra-swift web app build... -
14
FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
FlashMLA is a high-performance decoding kernel library designed especially for Multi-Head Latent Attention (MLA) workloads, targeting NVIDIA Hopper GPU architectures. It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to... -
15
libhv
Network library for developing TCP/UDP/SSL/HTTP/WebSocket/MQTT client
Like libevent, libev, and libuv, libhv provides event loop with non-blocking IO and timer, but simpler api and richer protocols. Cross-platform (Linux, Windows, MacOS, BSD, Solaris, Android, iOS) High-performance EventLoop (IO, timer, idle, custom) TCP/UDP client/server/proxy. TCP supports heartbeat, reconnect, upstream, MultiThread-safe write and close, etc. Built-in common unpacking modes (FixedLength, Delimiter, LengthField) RUDP support: WITH_KCP. SSL/TLS support: (via WITH_OPENSSL or... -
16
Efawin
Interact with AWS Elastic Fabric Adapter on Windows
Efawin library helps applications on Windows to interact with Elastic Fabric Adapter hardware on AWS EC2. It provides the necessary functionality through an interface that is very close to infiniband verbs interface. At this time, this library is scoped to support the libfabric efa provider that is part of the Open Fabrics Interfaces (OFI). See the OFI website for more information on libfabric. Any other use of the library is not tested or supported. This library provides the necessary... -
17
Arduino FOC
Arduino FOC for BLDC and Stepper motors
We live in very exciting times 😃! BLDC motors are entering the hobby community more and more and many great projects have already emerged leveraging their far superior dynamics and power capabilities. BLDC motors have numerous advantages over regular DC motors but they have one big disadvantage, the complexity of control. Even though it has become relatively easy to design and manufacture PCBs and create our own hardware solutions for driving BLDC motors the proper low-cost solutions are yet... -
18
Refit
The automatic type-safe REST library for .NET Core, Xamarin and .NET.
Refit is a library heavily inspired by Square’s Retrofit library, and it turns your REST API into a live interface. Refit currently supports the following platforms and any .NET Standard 2.0 target. Every method must have an HTTP attribute that provides the request method and relative URL. There are six built-in annotations: Get, Post, Put, Delete, Patch and Head. The relative URL of the resource is specified in the annotation. A request URL can be updated dynamically using replacement... -
19
-
20
Unikraft
A next-generation cloud native kernel designed to unlock performance
Unikraft powers the next generation of cloud-native, containerless applications by enabling you to radically customize and build custom OS/kernels; unlocking best-in-class performance, security primitives, and efficiency savings. Unikraft optimizes resource utilization, leading to smaller footprints (meaning higher server saturation) and improved efficiency in resource-constrained environments. Unikraft is an open-source project driven by a vibrant community of over 100 developers, fostering... -
21
Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
Implementation of 'lightweight' GAN proposed in ICLR 2021, in Pytorch. The main contribution of the paper is a skip-layer excitation in the generator, paired with autoencoding self-supervised learning in the discriminator. Quoting the one-line summary "converge on single gpu with few hours' training, on 1024 resolution sub-hundred images". Augmentation is essential for Lightweight GAN to work effectively in a low data setting. You can test and see how your images will be augmented before... -
22
FairChem
FAIR Chemistry's library of machine learning methods for chemistry
FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations,... -
23
Chartkick
Create beautiful JavaScript charts with one line of Ruby
Chartkick is a Ruby gem that makes it easy to generate beautiful charts in Rails and other Ruby applications with minimal code. It provides a high-level API where developers can use simple helpers like line_chart, pie_chart, or column_chart and pass in data arrays or ActiveRecord queries. Under the hood, it works with popular charting libraries such as Google Charts, Chart.js, and Highcharts, but hides their verbose JavaScript APIs behind a clean Ruby interface. It also handles things like... -
24
GraphQL Java Tools
A schema-first tool for graphql-java inspired by graphql-tools for JS
This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. GraphQL Java Tools aims for seamless integration with Java, but works for any... -
25
Lightly
A python library for self-supervised learning on images
A python library for self-supervised learning on images. We, at Lightly, are passionate engineers who want to make deep learning more efficient. That's why - together with our community - we want to popularize the use of self-supervised methods to understand and curate raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training...
