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Source channel @githubtrending · Post #15417 · Jan 16
#shell OpenCode now supports Claude Max/Pro subscriptions through the `opencode-anthropic-auth` plugin, allowing you to use your Claude subscription with both Claude Code and OpenCode in your terminal. This integration works with Gentleman.Dots, a complete development environment configuration that includes Neovim with AI assistants, multiple shells (Fish, Zsh, Nushell), terminal multiplexers (Tmux, Zellij), and various terminal emulators. You can install it via Homebrew or direct download across macOS, Linux, and Android platforms. The setup includes an interactive TUI installer that automatically configures your preferred tools, plus a Vim Mastery Trainer for learning editor shortcuts through progressive lessons and boss fights. This gives you a fully integrated AI-powered coding environment optimized for terminal-based development workflows. https://github.com/Gentleman-Programming/Gentleman.Dots
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@tgchinanews · Post #585 · 08/27/2020, 04:54 AM
Raspberry Pi Zero 型态的 ZYNQ 7010 FPGA SoC SBC https://www.cnx-software.com/2020/08/25/zynqberryzero-brings-xilinx-zynq-7010-fpga-soc-to-raspberry-pi-zero-form-factor/ #这不消费电子#FPGA#RPi
@githubtrending · Post #15271 · 11/05/2025, 12:30 PM
#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite
@githubtrending · Post #15220 · 10/14/2025, 01:00 PM
#verilog#cocotb#embedded#fpga#iss#risc_v#rtl#verilator#verilog#vpn#vproc#wireguard This project creates an open-source, hardware-based WireGuard VPN using an affordable FPGA board, making fast and secure VPNs more accessible. Unlike slow software VPNs or costly proprietary hardware, this FPGA design runs WireGuard encryption and packet processing at near wire speed without needing a PC host. It uses common tools and languages (SystemVerilog, open-source FPGA tools) and includes a soft CPU for control tasks and hardware logic for data encryption and routing. This means you get a faster, more efficient, and customizable VPN solution that is open and affordable, ideal for learning, development, or deployment in cost-sensitive environments. https://github.com/chili-chips-ba/wireguard-fpga