Search Results for "programming without coding" - Page 18
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Showing 1211 open source projects for "programming without coding"
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Ellama
Ellama is a tool for interacting with large language models from Emacs
...The tool is designed to align with Emacs’ philosophy of customization, enabling users to define prompts, commands, and behaviors tailored to their workflows. It supports conversational interactions, code assistance, and text transformation tasks, making it useful for both programming and writing scenarios. Ellama integrates with existing Emacs buffers, allowing users to send selected text or entire documents as context for AI operations. It also supports multiple providers, including Ollama, enabling local-first usage without relying on external APIs. -
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CUDA Core Compute Libraries (CCCL)
CUDA Core Compute Libraries
...It brings together Thrust, CUB, and libcudacxx, which collectively provide high-level abstractions, low-level performance primitives, and a CUDA-compatible standard library for GPU programming. The goal of CCCL is to simplify CUDA development by offering reusable building blocks that enable developers to write efficient and scalable parallel code without starting from scratch. Thrust provides a high-level interface for parallel algorithms, while CUB delivers highly optimized primitives for device-level operations, and libcudacxx ensures compatibility with modern C++ standards. ... -
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Boehm-Demers-Weiser Garbage Collector
The Boehm-Demers-Weiser conservative C/C++ Garbage Collector
The Boehm-Demers-Weiser conservative garbage collector can be used as a garbage collecting replacement for C malloc or C++ new. It allows you to allocate memory basically as you normally would, without explicitly deallocating memory that is no longer useful. The collector automatically recycles memory when it determines that it can no longer be otherwise accessed. The collector is also used by a number of programming language implementations that either use C as intermediate code, want to facilitate easier interoperation with C libraries, or just prefer the simple collector interface. ... -
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Mito
AI-powered Jupyter spreadsheet that converts workflows into Python
Mito is an open source set of Jupyter extensions designed to speed up Python workflows and data analysis. It combines a spreadsheet-style interface with AI-assisted coding, allowing users to explore, clean, and transform data without switching tools. Mito includes a context-aware AI assistant that helps generate code, debug errors, and guide workflows directly inside Jupyter. Its spreadsheet layer supports familiar functions such as filters, pivot tables, and formulas, while automatically converting every action into production-ready Python code. ... -
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5
Sloc Cloc and Code (scc)
Sloc, Cloc and Code: scc is a very fast accurate code counter
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go. The tool is similar to cloc, sloccount and tokei. For counting the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages. The goal is to be the fastest code counter possible, but also perform COCOMO calculations like sloccount, estimate code complexity similar to cyclomatic complexity calculators, and produce... -
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cheat.sh
The only cheat sheet you need
...Cheat.sh is intentionally minimal and scriptable, so it fits naturally into shells, CI scripts, editors, and quick lookups without leaving the terminal, while also offering ways to extend or host personal cheat sheets. -
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Gen.jl
A general-purpose probabilistic programming system
An open-source stack for generative modeling and probabilistic inference. Gen’s inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating the tricky math and the low-level implementation details. Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language... -
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autoMate
AI tool for automating desktop tasks via natural language input
autoMate is an AI-powered local automation tool designed to enable users to control and automate their computers using natural language instructions instead of traditional scripting or rule-based systems. It combines large language models with computer vision techniques to interpret user intent and understand on-screen content, allowing it to interact with graphical interfaces similarly to a human user. autoMate follows an observe-decide-act workflow, where it analyzes the screen, plans... -
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Restbed
Restbed framework brings asynchronous RESTful functionality
Restbed is a comprehensive and consistent programming model for building applications that require seamless and secure communication over HTTP, with the ability to model a range of business processes, designed to target mobile, tablet, desktop and embedded production environments. Server-Sent Events enable efficient server-to-client streaming of text-based event data—e.g., real-time notifications or updates generated on the server. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Hakaton Starter
A boilerplate for Node.js web applications
...When I started this project, my primary focus was on simplicity and ease of use. I also tried to make it as generic and reusable as possible to cover most use cases of hackathon web apps, without being too specific. In the worst case, you can use this as a learning guide for your projects, if for example you are only interested in Sign in with Google authentication and nothing else. -
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AWS Neuron
Powering Amazon custom machine learning chips
AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can... -
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tRPC
End-to-end typesafe APIs made easy
tRPC allows you to easily build & consume fully typesafe APIs, without schemas or code generation. As TypeScript and static typing increasingly become a best practice in web programming, the API presents a major pain point. We need better ways to statically type our API endpoints and share those types between our client and server (or server-to-server). We set out to build a simple library for building typesafe APIs that leverage the full power of modern TypeScript. -
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PostGraphile
Execute a command and get an instant high-performance GraphQL API
GraphQL is a new way of communicating with your server. It eliminates the problems of over- and under-fetching, incorporates strong data types, has built-in introspection, documentation and deprecation capabilities, and is implemented in many programming languages. This all leads to gloriously low-latency user experiences, better developer experiences, and much increased productivity. Because of all this, GraphQL is typically used as a replacement for (or companion to) RESTful API services.... -
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Rust Course
It has been the world's most popular language for 8 consecutive years
...It covers the basics of Rust, such as ownership, borrowing, lifetimes, traits, and generics, but also dives deep into advanced topics like performance optimization, linked list implementations, async programming with Tokio, standard library internals, Cargo usage, and WebAssembly development. The project emphasizes practical learning through exercises, helping users approach Rust study as if it were a university course. It also provides a "Cookbook" section of practical code snippets for common tasks such as file operations, regex handling, and database interactions, allowing learners to quickly reference solutions without searching externally. -
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Senparc
Quickly and easily develop WeChat full-platform applications
Using Senparc.Weixin, you can quickly and easily develop WeChat full-platform applications (including WeChat Official Accounts, Mini Programs, Mini Games, Enterprise Accounts, Open Platforms, WeChat Pay, JS-SDK, WeChat Hardware/Bluetooth, etc.). The Demo of this project is also suitable for beginners to learn .NET programming. Senparc.Weixin SDK is currently the most used WeChat .NET SDK and one of the most popular .NET open source projects in China. Since the establishment of the project in 2013 for more than 7 years, we have kept the project continuously updated, and shared the complete source code and design ideas with everyone without reservation. ... -
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Action! Programming Language
Action! - The Native Programming Language for Atari 8-bit Computers
Action! is a programming language for the Atari 8-bit family of microcomputers. It features an integrated editor, a debugger, and a 6502 compiler. Action! was created by Clinton Parker and released on cartridge by Optimized Systems Software (OSS) in 1983. Its syntax is similar to that of ALGOL 68. Action! is significant for its high performance, which allows games and graphics demos to be written in a high-level language without the use of hand-written assembly language code. ... -
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The Python Computer Science Degree
This is a curated list of free courses from reputable universities
...It includes courses from reputable institutions such as Harvard, MIT, Stanford, and Princeton. The curriculum organizes learning into topics like computer science basics, programming, math, systems, theory, applications, and electives. It is useful for learners who want a serious long-term study plan without paying for a traditional degree program. -
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React Native ExecuTorch
Declarative way to run AI models in React Native on device
...The project supports a range of AI use cases, including large language models, computer vision, OCR, object detection, speech processing, segmentation, and embeddings. It helps React Native developers use local AI capabilities without needing deep native programming or machine learning infrastructure expertise. The library is especially relevant for privacy-first apps, offline experiences, and mobile products that need low-latency inference. Its main value is bridging React Native with native AI execution so apps can run powerful models directly on user devices. -
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machine_learning_examples
A collection of machine learning examples and tutorials
...Many of the examples are accompanied by tutorials and educational materials that explain how the algorithms work and how they can be applied in real-world projects. The code is organized into small independent experiments so that learners can explore specific algorithms or techniques without needing to understand the entire codebase. -
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Software Design in Haskell
Software Design in Haskell
This repository accompanies a comprehensive guide to building large, maintainable Haskell systems, focusing on architecture, modularity, and practical design techniques. It presents patterns for separating pure domain logic from side effects, organizing code into layers and components that can be tested in isolation. Readers encounter multiple styles—MTL/typeclass constraints, tagless-final encodings, free and freer monads, ReaderT-style application environments—and learn when to apply each.... -
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DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
...The repository is organized into multiple modules that start with Java basics and gradually progress toward arrays, recursion, sorting, searching, linked lists, stacks, queues, trees, graphs, dynamic programming, and other advanced topics. It is a popular resource for students preparing for coding interviews, competitive programming, or computer science fundamentals. -
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Super Magic
All-in-one AI productivity platform with agents, workflows, and IM
...Magic centers around a general-purpose AI agent system called Super Magic, which can autonomously understand tasks, plan actions, execute workflows, and perform error correction. Alongside this, Magic includes a visual workflow engine that enables users to design complex AI processes using a drag-and-drop interface without requiring extensive coding knowledge. It also provides an enterprise-grade instant messaging system that integrates AI conversations with internal communication, allowing teams to collaborate while leveraging intelligent assistants. Its architecture is built using a microservices approach with containerized services. -
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E2B Cookbook
Examples of using E2B
E2B Cookbook is an open-source collection of example projects, guides, and reference implementations demonstrating how to build applications using the E2B platform. The repository acts as a practical learning resource for developers who want to integrate AI agents with secure cloud execution environments that allow large language models to run code and interact with tools. The examples illustrate how developers can build AI workflows capable of performing tasks such as data analysis, code... -
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Microsoft Learn MCP Server
Official Microsoft Learn MCP Server, powering LLMs and AI agents
...Rather than relying on training data that may be outdated or incomplete, MCP servers let agents like GitHub Copilot, Claude, or other LLM-based tools search and pull context directly from up-to-date Microsoft Learn content, including Azure, .NET, and other tech docs. By connecting to the MCP endpoint, coding agents can answer questions, retrieve code examples, and offer best practices grounded in authoritative sources without requiring API keys or manual browser searches. This capability helps eliminate hallucinations, improve accuracy, and streamline developer workflows by keeping relevant tech guidance close at hand. -
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shadowsocks-libev
Bug-fix-only libev port of shadowsocks
Shadowsocks-libev is a lightweight secured SOCKS5 proxy for embedded devices and low-end boxes. Shadowsocks-libev is written in pure C and depends on libev. It's designed to be a lightweight implementation of shadowsocks protocol, in order to keep the resource usage as low as possible. Snap is the recommended way to install the latest binaries. You can build shadowsocks-libev and all its dependencies by script. The latest shadowsocks-libev has provided a redir mode. You can configure your...
