Awesome GitHub RepositoriesGPU DataFrame Libraries

cuDF is a GPU-accelerated dataframe library and data processing engine designed for manipulating and analyzing large tabular datasets. It provides a high-level API for executing filtering, joining, and aggregating operations directly on GPU hardware. The project integrates the Apache Arrow memory format to enable zero-copy data transfers and includes a just-in-time compiler for executing custom user-defined functions on the GPU. The library features specialized acceleration for existing workflows by redirecting standard Pandas dataframe calls and Polars query plans to a GPU backend. It also p

AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high performance, scalability, and enterprise-grade availability. It retains the core MySQL identity as a SQL-based database for storing, organizing, and retrieving structured data, while adding optimizations for large-scale transactional and analytical workloads. The project differentiates itself through a set of Alibaba-specific improvements, including a columnar engine for accelerating analytical queries directly on MySQL tables, and a distributed, shared-nothing NDB Cluster en

Pigsty is a full-stack orchestration suite for deploying, monitoring, and managing high-availability PostgreSQL clusters and their supporting infrastructure. It functions as a cluster management platform and high-availability suite that automates failover, manages virtual IPs, and ensures data consistency through distributed consensus. The project distinguishes itself by providing a comprehensive database infrastructure-as-code framework and a dedicated observability stack. It incorporates a backup and recovery manager supporting point-in-time recovery via S3-compatible object storage, alongs

Jetson Containers 是一个容器管理系统，用于在 ARM64 边缘硬件上构建和运行用于机器学习工作负载的 GPU 加速 Docker 镜像。它作为一个 CUDA 容器编排器，在运行时自动检测主机的 CUDA 工具包版本和 GPU 功能以确保容器兼容性，同时在启动时通过匹配主机的 JetPack 或 L4T 版本来选择正确的容器镜像。 该项目提供预配置的容器，用于执行针对边缘设备优化的量化大语言模型和检索增强生成管道，以及用于部署自主代理和多模态处理的集成 ROS 和 AI 框架容器。其模块化分层构建系统从可重用的预构建层组装 Docker 镜像，从源码编译 AI/ML 框架以针对特定的边缘 GPU 架构和 CUDA 版本进行优化，并使用本地 wheel 缓存来加速后续构建。 该平台提供带有 GPU 加速版 PyTorch、TensorFlow、JAX 和 ONNX Runtime 的预构建 Docker 容器，支持在边缘硬件上运行 LLM、语音模型、视觉语言模型和神经机器翻译等功能。它还支持构建带有 GPU 加速 AI 包的自定义容器，运行 Triton Inference Server 和 Transformer Engine 容器，并使用 RAPIDS 库加速数据科学工作流。