The project aims to achieve the facial expression retargeting through blendshape transfer between two heterogeneous avatars, one of which is FLAME. Base models are FLAME-fitting and FLAME-pytorch.

Educational platform aiming to make preparation for science competitions accessible to all high-school stu- dents. Built with Django 5.0, adhering to TDD principles, and integrated with Github CI.

Confirmation of certification: https://www.udemy.com/certificate/UC-61852f8c-fd62-4b82-869d-3c649c72519c This course covered: 1. Using SQL to query a database 2. Using SQL to perform data analysis 3. Learning to perform GROUP BY statements 4. Replicating real-world situations and query reports

Confirmation of certification: https://www.coursera.org/account/accomplishments/verify/B9NWX3T68VXC This course covered: 1. Using unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection 2. Building recommender systems with a collaborative filtering approach and a content-based deep learning method 3. Building a deep reinforcement learning model

Confirmation of certification: https://www.coursera.org/account/accomplishments/verify/2SF8KZRRPD8E This course covered: 1. Building and training a neural network with TensorFlow to perform multi-class classification 2. Applying best practices for machine learning development so that your models generalize to data and tasks in the real world 3. Building and using decision trees and tree ensemble methods, including random forests and boosted trees