TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15030 · Aug 5
#typescript#ai#cross_platform#desktop#openai#rust#transcribe#whisper You can use Vibe to easily transcribe audio and video files on your own computer without needing the internet. It works offline using OpenAI’s Whisper engine, so your data stays private and never leaves your device. Vibe supports many languages, multiple file formats like SRT for captions, and can transcribe from system audio, microphone, or popular websites. It runs on Mac, Windows, and Linux, and offers features like batch transcription, real-time preview, translation, and AI-powered summaries. This helps you quickly get accurate transcripts while keeping your information secure and under your control. https://github.com/thewh1teagle/vibe
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