Project | Description |
---|---|
2nd Place Solution of AI Journey Contest 2021: AITrain track | Developed a computer vision system for Semantic Rail Scene Understanding based on Panoptic FPN and YOLOv5. |
Top 3% solution for Kaggle APTOS 2019 Blindness Detection | Trained a convolutional neural network using PyTorch to speed up disease detection. |
Neural Differential Equations | My review (in Russian), tutorial and experiments on a paper «Neural Ordinary Differential Equations», which received the Best Paper award at NeurIPS 2018. |
Comparative study of intrinsic motivations (Exploration in RL) | The final project of Advanced Topics in Reinforcement Learning course by YSDA & DeepPavlov. Implemented and conducted experiments with Random Network Distillation, Forward/Backward dynamics models and Intrinsic curiosity module. |
Deep learning engineer, MSc in CS, Kaggle competitions expert
- Moscow, Russia
- https://www.kaggle.com/mamatml
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