array(['Ruby on Rails', 'Ruby', 'AWS DynamoDB', 'Python', 'MySQL', 'Swift', 'Android', 'iOS', 'JavaScript', 'React Native', 'ReactJS', 'TypeScript', 'Vue.js', 'Webpack', 'Amazon Web Services(AWS)', 'Kubernetes', 'PHP', 'CI/CD', 'Java', 'C#', 'C', 'Node.js', 'REST API', 'Go', 'Redux-Saga', 'Redux.js', 'Babel', 'GraphQL', 'Tensorflow', 'PyTorch', 'Jenkins', 'Spring', 'Django', 'Git', 'AWS EC2', 'CSS', 'HTML', 'MongoDB', 'Docker', 'Scala', 'SQL', 'Embedded System', 'NLP', 'Apache', 'Kotlin', 'Angular', 'jQuery', 'C++', 'RxJS', 'AngularJS', 'Redis', 'Next.js', 'NoSQL', 'GCP(Google Cloud Platform)', 'Elasticsearch', 'OpenStack', 'JPA(Java Persistent API)', 'TCP/IP', 'Objective-C', 'Realm', 'Firebase', 'Ajax', 'Linux', 'PostgreSQL', 'ES6', 'AWS Lambda', 'HTML5', 'AWS S3', 'GitHub', 'RxSwift', 'Terraform', 'AWS EKS', 'AWS RDS', 'Microsoft Azure', 'Sass(SCSS)', 'CodeIgniter', 'Flask', 'Nuxt.js', 'Ansible', 'Spring Boot', 'Linux kernel', 'Apache Kafka', 'Deep Learning', 'Nginx', 'ActionScript', 'OOP', 'Shell', 'gulp', 'Celery', 'SQLAlchemy', 'ExpressJS', 'RxJava', 'Apache Spark', 'WebGL', 'OpenGL', 'Machine Learning', 'MSSQL(Microsoft SQL Server)', 'Database', 'styled-components', 'MVC', 'Retrofit', 'Machine Vision', 'Oracle', 'web3.js', 'R', 'AWS ElasticBeanstalk', 'Elastic Stack', 'Laravel', 'ASP.NET', 'Aurora DB', 'Redux-Observable', '.NET', 'AWS Backup', 'AWS CloudWatch', 'Kibana', 'Fluentd', 'Logstash', 'JSP', 'Bootstrap', 'Datadog', 'Rust', 'Azure', 'Apache Hadoop', 'AWS X-Ray', 'Memcached', 'Jest', 'Mocha', 'DRF(Django REST framework)', 'Spring Cloud', 'Data Analysys', 'Big Data', 'GitLab', 'Gradle', 'SQLite', 'Microsoft IIS', 'Unity', 'Electron', 'MariaDB', 'mSQL', 'gensim', 'Scikit-Learn', 'AWS Simple Queue Service(AWS SQS)', 'gRPC', 'Naver Cloud Platform', 'Ubuntu', 'Microservice Architecture', 'Apache ActiveMQ', 'Oracle Database', 'Apache Subversion(SVN)', 'Apache Tomcat', 'Red Hat Ceph Storage', 'Puppeteer', 'OpenLayers', 'Vuex', 'Less.js', 'JIRA', 'Keras', 'NCP(Naver Cloud Platform)', 'NestJS', 'PKI(Public key infrastructure)', 'AWS ECS', 'Hibernate', 'UML', 'BitBucket', 'Arduino', 'Raspberry Pi', 'RabbitMQ', 'Capistrano', 'Bamboo', 'MVP', 'OkHttp', 'Cocos2d', 'Ethereum', 'Blockchain', 'DSP(Digital Signal Processing)', 'D3.js', 'Cocoa', 'Axios', 'Ionic', 'WPF', 'AWS IAM', 'Shell Script', 'Responsive Web', 'Canvas', 'ThreeJS', 'Apache ZooKeeper', 'Pandas', 'Spring Batch', 'JUnit', 'Spring Data JPA', 'ASP', 'Grunt', 'WordPress', 'MyBatis', 'AWS ElastiCache', 'Apache HTTP Server', 'AWS Security Hub', 'Google API', 'Qt', 'CAD', 'GatsbyJS', 'PostCSS', 'Socket.IO', 'Backbone.js', 'Azure Linux Virtual Machines', 'Heroku', 'CUDA', 'IOCP', 'Unix', 'CocoaPods', 'MVVM(Model-View-ViewModel)', 'Google Firebase Crashlytics', 'Google Cloud Platform', 'Windows kernel', 'OpenCV', 'Unreal Engine', 'Google Cloud SDK', 'RxAndroid', 'Windows Embedded', 'Entity Framework', 'Packer', 'Nexus', 'Consul', 'Selenium', 'Jekyll', 'XML', 'Dependency Lookup', 'RxKotlin', 'Expo', 'Sketch', 'InVision', 'Azure Text Analytics', 'Google Dialogflow', 'Google Cloud Natural Language'], dtype=object)
let say I have this array list
if I want to group them by similar things
is there any pretrained language model to do this job easier?
for example
pytorch and tensorflow should be in one group because
most of the deep learning people are using pytorch or tensorflow