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backend

Compiler backend from packing to bitstream generation.

claude-api

This project provides an unofficial API for Claude AI, allowing users to access and interact with Claude AI .

floating-point-alu-in-verilog

32-Bit Algorithms of Floating Point Operations are implemented on Verilog with logic Operations.

fp_add_exact

IEEE 754 binary64 Additional Circuit

fpga-ml-accelerator

This repository hosts the code for an FPGA based accelerator for convolutional neural networks

fritz-models

Train and deploy machine learning models for mobile apps with Fritz AI.

fuckjlc

image_search_tool

对本地图库实现搜索内容/文字/以图搜图，并含有其他扩展 Implementing search content/text/image search within the local photo gallery, along with other extensions.

j-marjanovic.github.io

micropython_iot_sensors_lib

Some sensors' micropython lib, including BH1750, JW01 and a Capacitive Soil Moisture Sensor

mouse_heartrate

利用鼠标位移测量心率(或者抖腿频率)/Measure heartrate (or leg shaking frequency) using mouse displacement

openzynq

xilinx的zynq开源硬件和软件

project_diva_mega39s_auto

使用yolov5识别屏幕+按键时间估算实现自动玩Project_DIVA_Mega39s

project_sekai_stickers_qqbot

绘制pjsk表情包的QQ机器人

reflex

🕸 Web apps in pure Python 🐍

sp_devkit_zynq7010-20

ZYNQ7010-20 开源开发板

taishan-pie-desktop-sitting-posture-detector

使用泰山派制作的桌面坐姿检测仪，支持摄像头通过yolov8-pose识别坐姿，可区分六大错误坐姿（低头、歪头、趴桌、脖子前伸、身体下沉、驼背写字），支持语音提醒；支持手机APP设置学习时间，闹钟，到点提醒，久坐提醒；支持手机APP获取坐姿分析数据

tensorflow-in-gpt-4-advanced-data-analysis-mode

Install TensorFlow Lite on GPT-4 (advanced data analysis mode), or any other not pre-installed libraries

tiny_styletransfer

Very tiny styletransfer networks with only thousands of parameters, sutiable for embedded devices.

tinymaix

TinyMaix is a tiny inference library for microcontrollers (TinyML).

trojan-killer

Detect TLS in TLS.

validation

Raptor Validation - New clean version of Compiler_Validation repo

vitis-ai

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

yanhekt

yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+