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GitHub / TatjanaChernenko 1 Repository

Data Scientist | ML & NLP Innovator | Software Developer of Microservices in the Cloud (ML, NLP Focus) | Scrum Master | Ambassador of Strategy at SAP SE, German

TatjanaChernenko/Predictive-Maintenance-with-LSTM

Predictive Maintenance: Use LSTM to predict failure (binary classification) and RUL (remaining useful life or time to failure with regression) of aircraft engines.

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TatjanaChernenko/mongodb_webscrapping

Extracting job postings from LinkedIn, storing them in a local MongoDB database, and notifying the user via email about relevant job opportunities.

Language: Python - Size: 17.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TatjanaChernenko/ai_code_assistant

Language: Python - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TatjanaChernenko/reinforcement_learning_agent_Bomberman_game

Training an agent for the multi-player game Bomberman using reinforcement learning, deep Q-learning with a dueling network architecture and separate decision and target networks, prioritized experience replay.

Language: Python - Size: 17.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

TatjanaChernenko/word_sense_induction_CHERTOY_system

An approach to improve word sense induction systems (WSI) for web search result clustering. Exploring the boundaries of vector space models for the WSI Task. CHERTOY system. Chernenko, Tatjana and Toyota, Utaemon Institute for Computational Linguistics of University Heidelberg. 2017/2018

Language: Python - Size: 723 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

TatjanaChernenko/ml_playground

A collection of notebooks with different ML and Data Science tasks (examples). *updated soon*

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TatjanaChernenko/image_description_generation

NL Generation from structured inputs. Focuses on generating natural language descriptions for images by exploring the relationship between textual descriptions and image attributes. Leveraging an encoder-decoder architecture with LSTM cells, the system transforms normalized vector representations of attributes into fixed-length vector.

Language: Jupyter Notebook - Size: 182 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TatjanaChernenko/TatjanaChernenko

About me.

Size: 230 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0