sszzz830

sszzz830

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Company:Beijing Institute of Technology

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sszzz830's repositories

Project_Sekai_Stickers_QQBot

绘制pjsk表情包的QQ机器人

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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

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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.

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Micropython_IOT_Sensors_lib

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

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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

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Claude-API

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

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reflex

🕸 Web apps in pure Python 🐍

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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

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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

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Trojan-killer

Detect TLS in TLS.

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Backend

Compiler backend from packing to bitstream generation.

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Floating-Point-ALU-in-Verilog

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

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fp_add_exact

IEEE 754 binary64 Additional Circuit

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fpga-ml-accelerator

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

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fritz-models

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

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openzynq

xilinx的zynq开源硬件和软件

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SP_DEVKIT_ZYNQ7010-20

ZYNQ7010-20 开源开发板

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Tiny_StyleTransfer

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

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TinyMaix

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

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Validation

Raptor Validation - New clean version of Compiler_Validation repo

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Vitis-AI

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

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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+

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