{"id":15563194,"url":"https://github.com/anastassia-b/machine-learning","last_synced_at":"2026-05-06T08:31:12.214Z","repository":{"id":93275383,"uuid":"112786558","full_name":"anastassia-b/machine-learning","owner":"anastassia-b","description":"💡Compilation of notes + implementations of neural networks using Keras and TensorFlow","archived":false,"fork":false,"pushed_at":"2018-03-16T01:25:48.000Z","size":20404,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-07-18T02:51:29.129Z","etag":null,"topics":["deep-learning","keras","machine-learning","tensorflow"],"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/anastassia-b.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":"2017-12-01T21:02:40.000Z","updated_at":"2019-08-23T19:36:46.000Z","dependencies_parsed_at":"2023-03-13T17:19:26.406Z","dependency_job_id":null,"html_url":"https://github.com/anastassia-b/machine-learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/anastassia-b/machine-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anastassia-b%2Fmachine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anastassia-b%2Fmachine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anastassia-b%2Fmachine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anastassia-b%2Fmachine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anastassia-b","download_url":"https://codeload.github.com/anastassia-b/machine-learning/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anastassia-b%2Fmachine-learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32684585,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-06T02:33:58.958Z","status":"ssl_error","status_checked_at":"2026-05-06T02:33:39.611Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["deep-learning","keras","machine-learning","tensorflow"],"created_at":"2024-10-02T16:20:26.949Z","updated_at":"2026-05-06T08:31:12.198Z","avatar_url":"https://github.com/anastassia-b.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Machine Learning\n\nThis repository serves as my personal notes, implementations, and explorations of various machine learning concepts.\n\n### Lecture Series\nParticipated in the [deep learning lecture series](http://www.boltzmann-institute.com/) offered by Neg Ruggeri/the Boltzmann Institute from October - December 2017.\n\nTopics:\n1. Linear and Logistic Regression.\n2. Gradient Descent.\n3. Feed Forward Neural Networks: multilayer perceptrons and backpropagation.\n4. Convolutional Neural Networks (image recognition).\n5. Recurrent Neural Networks (natural language processing).\n6. Long Short Term Memory (LSTM) cells. Word embeddings (word2vec).\n7. Sequence to Sequence tasks. Encoder/Decoder architecture. Machine translation.\n8. Autoencoders. Unsupervised representation learning.\n9. Generative Adversarial Networks (image and music synthesis).\n\n### Neural Network Implementations\n\nInitially, I will implement the above techniques with Keras and TensorFlow. The aim is to learn through a variety of projects, to be able to explore original ideas.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanastassia-b%2Fmachine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanastassia-b%2Fmachine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanastassia-b%2Fmachine-learning/lists"}