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A simple web application for blazing-fast digit recognition
Home Page: https://djacon.github.io/digit-recognition/
HTML 42.75%
CSS 13.38%
JavaScript 43.87%
digit-recognition's Introduction
Machine Learning Engineer | Young Technology Enthusiast | BioTech Student
- ML Fields: Classic ML, NLP, RecSys, LLM
- Languages: Python, SQL, C/C++, Go
- ML stack: PyTorch, W&B, Optuna, Sklearn, Catboost/XGBoost/LightGBM
- BigData: Hadoop, Hive, PySpark, Pandas/Polars
- Web stack: FastAPI, Streamlit, Flask, Django
- DevOps: Docker, Git, Linux
๐ Competition Background
๐จโ๐ป Work Experience
- Freelancer (September 2022 - Present Day)
- ๐ค AI
- ๐๏ธโโ๏ธ Gym
- ๐ฟ Memes
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