Neural network image classifier
- Stack/libraries: Python, TensorFlow, Keras, NumPy, pandas, Matplotlib, seaborn, scikit-learn
- Description: Performs photo recognition, predicts real or fake photo.
- Link: https://github.com/hikkaneet/simple-photo-recognition
Neuro-employee chatbot
- Stack/libraries: Python, LlamaIndex, LangChain, SentencePiece, bitsandbytes, peft, docx2txt
- Description: Uses RAG method to expand user query, retrieves documents from external source to form graph database.
- Link: https://github.com/hikkaneet/neuro-employee-v2
Application for web resource user creation and authorization
- Stack/libraries: Python, PostgreSQL, Tortoise ORM, FastAPI, Uvicorn, OAuth2, bcrypt
- Description: Simple backend solution for login and password authorization.
- Link: https://github.com/hikkaneet/small-auth-app
Telegram bot using Wikipedia
- Stack/libraries: Python, aiogram, OpenAI API, pandas, mwclient, mwparserfromhell, scipy
- Description: Telegram bot that answers questions about article from Wikipedia, using a knowledge base.
- Link: https://github.com/hikkaneet/tg-wiki-qa-bot-v1
Cloud quiz bot
- Stack/libraries: Python, aiogram, YDB, Yandex Cloud
- Description: The bot is deployed as a serverless application using Yandex Cloud Functions.
- Link: https://github.com/hikkaneet/yandex-cloud-tg-quiz-bot
Neural network image segmentation
- Stack/libraries: Python, NumPy, TensorFlow/Keras, Albumentation, Matplotlib, OpenDatasets
- Description: Uses a U-Net for lung segmentation on chest X-ray images.
- Link: https://github.com/hikkaneet/segmentation-demo