{"id":17989507,"url":"https://github.com/evilfreelancer/technologies-classifier","last_synced_at":"2026-05-01T09:31:31.738Z","repository":{"id":110656472,"uuid":"565415494","full_name":"EvilFreelancer/technologies-classifier","owner":"EvilFreelancer","description":"Simple neural network for detecting theme in text about informational techmologies","archived":false,"fork":false,"pushed_at":"2023-03-20T17:53:21.000Z","size":6,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-11-03T17:10:15.338Z","etag":null,"topics":["classification","cnn","machine-learning","sklearn"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EvilFreelancer.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-11-13T10:43:42.000Z","updated_at":"2023-04-17T18:49:43.000Z","dependencies_parsed_at":"2023-04-14T18:32:29.536Z","dependency_job_id":null,"html_url":"https://github.com/EvilFreelancer/technologies-classifier","commit_stats":null,"previous_names":["evilfreelancer/technologies-classifier"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/EvilFreelancer/technologies-classifier","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EvilFreelancer%2Ftechnologies-classifier","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EvilFreelancer%2Ftechnologies-classifier/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EvilFreelancer%2Ftechnologies-classifier/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EvilFreelancer%2Ftechnologies-classifier/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EvilFreelancer","download_url":"https://codeload.github.com/EvilFreelancer/technologies-classifier/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EvilFreelancer%2Ftechnologies-classifier/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32492104,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["classification","cnn","machine-learning","sklearn"],"created_at":"2024-10-29T19:14:50.441Z","updated_at":"2026-05-01T09:31:31.712Z","avatar_url":"https://github.com/EvilFreelancer.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Technologies classifier\n\nSimple neural network model based on Sklean framework for detecting technologies in provided text,\non input it will receive any text, in output you will receive array of mentioned technologies.\n\n## How to use\n\n```python\nfrom dataset import ITTechDataset\nfrom model import ITTechModel\n\n# Create a new dataset object and load data\ndataset = ITTechDataset(file_path=\"datasets/texts_with_labels.csv\")\n\n# Create and train model\nmodel = ITTechModel(dataset=dataset)\nmodel.fit_transform()\nmodel.train()\n\n# use the model to make predictions on new data\ntext_to_predict = \"Text about ReactJS, VueJS and other JavaScript related things\"\npredicted_labels = model.predict(text_to_predict)\n\nprint(predicted_labels) # \u003e\u003e\u003e ['javascript']\n```\n\n## How to save trained model\n\n```python\nfrom dataset import ITTechDataset\nfrom model import ITTechModel\n\n# Create a new dataset object and load data\ndataset = ITTechDataset(file_path=\"datasets/texts_with_labels.csv\")\n\n# Train and save model to disk\nmodel = ITTechModel(dataset=dataset, model_path=\"./model/tech_model.joblib\")\nmodel.fit_transform()\nmodel.train()\nmodel.save_model()\n```\n\n## How to load saved model\n\n```python\nfrom model import ITTechModel\n\n# Load pretrained model\nmodel = ITTechModel(model_path=\"./model/tech_model.joblib\")\nmodel.load_model()\n```\n\n## Dataset example\n\n```csv\ntext,keys\n\"Text about JavaScript\",javascript\n\"Text about Django, JavaScript and PHP\",\"javascript,python,php\"\n...\n...\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fevilfreelancer%2Ftechnologies-classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fevilfreelancer%2Ftechnologies-classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fevilfreelancer%2Ftechnologies-classifier/lists"}