1,433 skills found · Page 1 of 48
krishnakumarsekar / Awesome Quantum Machine LearningHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Tencent / MedicalNetMany studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
ShisatoYano / AutonomousVehicleControlBeginnersGuidePython sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
201206030 / Novel Cloudnovel-cloud 是基于 novel 构建的 Spring Cloud 微服务技术栈学习型小说项目。选用了 Spring Boot 3 、Spring Cloud 2022、Spring Cloud Alibaba 2022、MyBatis-Plus、ShardingSphere-JDBC、Redis、RabbitMQ、Elasticsearch 、XXL-JOB 等流行技术。
madebygps / Cloud Engineering ProjectsA collection of cloud project ideas for those studying for certifications
Sjj1024 / Douyin LivePython learning projects, for study reference only. 抖音直播小工具，Python学习项目，仅供学习参考，严禁一切不合规使用
TrainingByPackt / Data Science Projects With PythonA Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
JackKuo666 / NLP BasisThis is the notes and code I took while studying an NLP tutorial [2019 Latest AI Natural Language Processing Deep Machine Learning Top Project Practical Course]
AlanBinu007 / Spring Boot Advanced Projects💖💖Here we are making almost all types of Spring Boot Applications that you suggested via linkedin/Gmail, If you are looking something that is out of the box then just ping me in linkedin or mail with your required project i will make the template/full project for you for free NOTE : ONLY FOR STUDY PURPOSES
leipzig / Awesome Reproducible ResearchA curated list of reproducible research case studies, projects, tutorials, and media
Vision-Intelligence-and-Robots-Group / Awesome Segment AnythingA collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.
Moado / The Data Scientist S ToolboxIn this period of COVID-19, I unlock access to my personal library of Data Science resources to anyone who is in the process of carrying out an academic project, whether at the end of their studies or those doing research. Furthermore it's also designed to help any aspirant data scientist, wishing to make a breakthrough in this field. This Repository will be updated each week with new resources. Enjoy Learning Data Science and Spread the Word ! En cette période de COVID-19, je déverrouille l'accès à ma bibliothèque personnelle de ressources en sciences des données à toute personne qui est en train de réaliser un projet universitaire, que ce soit à la fin de ses études ou pour ceux qui font de la recherche. En outre, elle est également conçue pour aider tout aspirant chercheur en sciences des données, qui souhaite faire une percée dans ce domaine. Ce répertoire sera mis à jour chaque semaine avec de nouvelles ressources. Profitez de l'apprentissage de la science des données et faites passer le mot !
BEPb / Python 100 DaysИзучи питон / python за 100 дней
duemig / Stanford Project Predicting Stock Prices Using A LSTM NetworkStanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).
ysc / SuperwordSuperword is a Java open source project dedicated in the study of English words analysis and auxiliary reading.
faizanxmulla / Sql PortfolioRepository of SQL projects, case studies, platform solutions, and learning resources to enhance SQL skills through practical applications. Includes content from DataLemur, LeetCode, HackerRank, and more.
xiaoxiaojx / BlogProject for records problems solved in my work and study.
crosswire / XiphosXiphos is a Bible study tool written for Linux, UNIX, and Windows using GTK, offering a rich and featureful environment for reading, study, and research using modules from The SWORD Project and elsewhere.
katiehuangx / Portfolio GuideA guide and summary to my projects and case studies.
zlmzju / FusenetDeep fusion project of deeply-fused nets, and the study on the connection to ensembling
