thkelper Goto Github PK

mysegmentation

Forked From MMSegmentation

ontoprotein

Code and datasets for the ICLR2022 paper "OntoProtein: Protein Pretraining With Gene Ontology Embedding"

open-problems-multimodal

1st place solution of Kaggle Open Problems - Multimodal Single-Cell Integration

pumpkin-book

《机器学习》（西瓜书）公式详解

qbot

[🔥updating ...] AI 自动量化交易机器人 Qbot is an AI-oriented quantitative investment platform, which aims to realize the potential, empower AI technologies in quantitative investment. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

ros_best_practices

Best practices, conventions, and tricks for ROS. Do you want to become a robotics master? Then consider graduating or working at the Robotics Systems Lab at ETH in Zürich!

self-llm

基于AutoDL快速部署开源大模型，更适合**宝宝的部署教程

semantic-segment-anything

sam 微调分割 Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

stable-diffusion

A latent text-to-image diffusion model

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

thkelper

thkelper.github.io

My Personal Academic Webpage

thorough-pytorch

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

traffic-sign-recognition-pyqt5-yolov5-gui

这是一个基于YOLOv5🚀的道路标志识别系统😊，使用了MySQL数据库💽，PyQt5进行界面设计🎨，PyTorch深度学习框架和TensorRT进行加速⚡，同时包含了CSS样式🌈。系统由五个主要模块组成：系统登录模块🔑负责用户登陆；初始化参数模块📋提供YOLOv5模型的初始化参数设置；标志识别模块🔍是系统的核心，负责对道路标志进行识别并将结果导入数据库；数据库模块💾包含基本数据库操作和数据分析两个子模块；图像处理模块🖼️负责单个图像的处理和数据增强。整个系统支持多种数据输入和模型切换，提供了包括mossic和mixup在内的图像增强方法📈。

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

yolo-tensorrt

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

yolo_from_scratch

Follow yolov1-v3 from scratch

yolo_series_deepsort_pytorch

Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).

yolt

You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery