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xlite-dev/LeetCUDA

An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.

Cuda ◇ cuda GPL-3.0
★12.1KSTARS
⑂1.3KFORKS
!3ISSUES
🏆#1,070GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Momentum

+301

STARS · LAST 30 DAYS

10

PER DAY

#1

MOST-STARRED Cuda

Window7 days30 days90 days
Stars gained+70+301+900
Per day101010
Forks gained+6+25+64

LeetCUDA gained 301 stars in the last 30 days, about 10 a day, and now has 12.1K. It is about 4 years old and has averaged roughly 3K stars a year. It ranks #1 among Cuda repositories and #1,070 across all languages on GitHubRepo.

Trending Record

LeetCUDA has maintained a continuous presence across global trending indexes, peaking at #3834. Below is the 30-day activity profile:

💡 Overview

LeetCUDA is an open-source project written in Cuda: An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.

Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, cuda-12, cuda-cpp. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Cuda for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/xlite-dev/LeetCUDA.git
cd LeetCUDA

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Cuda environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

LeetCUDA coordinates its core functionality through a modular Cuda pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Command-Line Automation

Execute automated build, deployment, and maintenance tasks directly from the terminal.

CI/CD Workflow Integration

Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.

Developer Environment Setup

Standardize local engineering workstations with single-binary utility commands.

Scripting & Pipeline Orchestration

Chain complex multi-stage scripts with reliable error reporting and exits.

🚀 Getting Started

1

Install LeetCUDA using your package manager: `git clone https://github.com/xlite-dev/LeetCUDA.git`

2

Initialize your project workspace or configuration file for LeetCUDA.

3

Import LeetCUDA into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `LeetCUDA --help` to verify successful setup.

👍 Strengths

Active community backing with 12,053 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in Cuda for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Cuda and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

Developers and engineering teams building with Cuda, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

xlite-dev/LeetCUDA is currently ranked #1,070 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,065 kubeshark/kubeshark Go ★ 12.1K Compare ↗
#1,066 expressjs/multer JavaScript ★ 12.1K Compare ↗
#1,067 Vinzent03/obsidian-git TypeScript ★ 12.1K Compare ↗
#1,068 grpc/grpc-java Java ★ 12.1K Compare ↗
#1,069 o2sh/onefetch Rust ★ 12.1K Compare ↗
#1,070 xlite-dev/LeetCUDA This Project Cuda ★ 12.1K
#1,071 storytold/filmcraft Rust ★ 12K Compare ↗
#1,072 microsoft/garnet C# ★ 12K Compare ↗
#1,073 manticoresoftware/manticoresearch C++ ★ 12K Compare ↗
#1,074 altic-dev/FluidVoice Swift ★ 12K Compare ↗
#1,075 vega/vega JavaScript ★ 12K Compare ↗
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Frequently Asked Questions

What does LeetCUDA do? +

An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.

What language is LeetCUDA written in? +

The primary language is Cuda. Topics include: cuda, cuda-12, cuda-cpp, cuda-demo, cuda-kernel.

Is LeetCUDA actively maintained? +

Yes, the last recorded push was on Oct 10, 2026 with 3 open issues being tracked.

How many stars does LeetCUDA have? +

LeetCUDA has 12,053 stars and 1,272 forks on GitHub.

How does LeetCUDA rank among GitHub repositories? +

With 12,053 stars, xlite-dev/LeetCUDA is ranked #1,070 globally across all repositories tracked on GitHubRepo and #1 among Cuda projects.

What license is LeetCUDA distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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