Magnetic-Prince's Stars
lkhue65/Customer-Clustering-Using-Gaussian-Mixture-Model
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
siml3/RU-Net
Ivan-Tang-3D/Any2Point
[ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding
ldkong1205/LaserMix
[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
xinge008/Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
tom-roddick/mono-semantic-maps
MUC-NBM/zlktqa
知了课堂实战项目
loveky/phonegap-VoiceRecognition
一款基于百度开放API的语音识别应用
hyperjlord/software-testing
同济大学软件学院2020-2021学年下 软件测试作业
seamew1999/Palmprint-Recognition-
毕业设计
Qiware/sensitive-word
通过机器学习进行敏感词的识别
DiHiera/Algorithm_Interview_Notes-Chinese-master
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
lyhanburger/palm_dealing
基于掌纹病理纹识别的健康建议系统
Zx117x/Palmprint-Recognition
ruofei7/Palmprint_Recognition
This project is mainly to complete the palmprint feature extraction and classification tasks. The data set contains 99 people's palm print pictures, in which 3 palm print pictures of each person are distributed in the training set, and the other 3 palm print pictures are distributed in the test set. In this project, I tried the traditional method use SIFT to extract features and KNN for classification which get accuracy of 97.31%, and also tried the convolutional neural network method such as ResNet which get accuracy of 83.16%. In addition, I also tried to use the Gaussian filter, Gabor filter, LBP, etc. to process the palmprint image and extract the texture from the palmprint image, but these methods have not improved the accuracy of palmprint recognition.
mryuan0428/House-price-prediction
房价预测完整项目:1.爬取链家网数据 2.处理后,用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价 最终结果神经网络效果更好,R^2值0.75左右
why19970628/MachineLearingPrograms
机器学习项目集合
virgoC0der/SentimentAnalysisOfProductReview
基于机器学习的商品评论情感分析——毕业设计项目
lzx1019056432/Be-Friendly-To-New-People
此仓库是一些机器学习以及其他一些有趣的的小项目实战,每一个文件夹都是一个具体的实战项目,目的就是让新人能够快速动手实践,延续学习的热情!
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
wzqcoding/Virtual-Simulation-Experiment
软件工程管理与经济 2023
jbakams/slimebot-volleyball
3D gym environments to train RL agents to play the Slime Volleyball game in 3 dimensions using Webots as simulator.
jwyjohn/awesome-tjsse-project
收集的同济软院的项目目录。
muyi-TJ/2021Autumn-DesignPattern
DOGGY-SAINT/DesignPatterns
TJ SSE 2021 design-pattern course project
MountPOTATO/Software-Engineering-Notes
同济大学软件学院软件工程课堂笔记
wenjunBZ/RushForOffer
同济大学2021届面经
CatDarkGame/UE4SimpleFootIKcpp
UE4SimpleFootIKwithC++