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Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw
⚡ KCP - A Fast and Reliable ARQ Protocol
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور، امن، قابل اعتماد و پرسرعت
GUI image optimizer for Mac
Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Cloud Native pipelines from Tekton
Open Source HTTP Reverse Proxy Cache and Time Series Dashboard Accelerator
超高性能、安全的一站式开源资源获取加速引擎。其性能远超传统加速器，为您提供跨多个平台的统一高效的加速体验，涵盖代码储存库、包管理、AI 推理 API、容器镜像、模型及数据集等 | Ultra-high performance, secure, all-in-one open-source resource acceleration engine. Significantly outperforms traditional accelerators, providing unified and efficient acceleration across multiple platforms
Nydus - the Dragonfly image service, providing fast, secure and easy access to container images.
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
The AWS Secure Environment Accelerator is a tool designed to help deploy and operate secure multi-account, multi-region AWS environments on an ongoing basis. The power of the solution is the configuration file which enables the completely automated deployment of customizable architectures within AWS without changing a single line of code.
A simple, fast and interruptable download accelerator, written in Rust
QKeras: a quantization deep learning library for Tensorflow Keras
Accelerate JSON stringification by providing OpenAPI/TypeBox shape
The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.
DEEPPOWERS is a Fully Homomorphic Encryption (FHE) framework built for MCP (Model Context Protocol), aiming to provide end-to-end privacy protection and high-efficiency computation for the upstream and downstream ecosystem of the MCP protocol.
Add keyboard shortcuts locally to a BrowserWindow instance, without using a Menu
FPGA Accelerator for CNN using Vivado HLS
Research and Materials on Hardware implementation of Transformer Model
Algebraic enhancements for GEMM & AI accelerators