TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15516 · Feb 23
#javascript#anthropic#anthropic_ai#anthropic_claude#claude#claude_api#claude_code#claude_code_ui#claudecode#gui#mobile_first#react#ui Cloud CLI (Claude Code UI) is a free, responsive app for desktop and mobile that lets you manage Claude Code, Cursor CLI, or Codex projects anywhere. View sessions, chat interactively, edit files with syntax highlighting, use Git tools, and run a built-in terminal—no installs needed (just run `npx @siteboon/claude-code-ui`). Enable tools safely and add optional AI task planning. This benefits you by giving a user-friendly interface over terminal CLIs, so you code, collaborate, and stay productive on any device without context switches or setup hassle. https://github.com/siteboon/claudecodeui
Search: #fpga
@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