A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.
An Educational Framework Based on PyTorch for Deep Learning Education and Exploration
Personal algorithmic task solutions saved from platforms like Yandex.Context, CodeWars and Karpov.Courses / Решене олимпиадных задач на платформе Яндекс.Контекст, CodeWars, Karpov.Courses
Repository of the ECML PKDD 2021 tutorial title 'Machine Learning Meets Internet of Things: From Theory to Practice'
My take on PFN Internship ML Task 2019
Implementação de um algoritmo de treinamento aleatório para redes neurais. Este projeto explora abordagens alternativas para otimização de modelos em aprendizado de máquina.
♟️ Optimized Chess RL Trainer using DQN vs Stockfish. Built with PyTorch and python-chess, it learns using per-move rewards from Stockfish evaluations. Implements Prioritized Experience Replay (PER) and parallel CPU/GPU execution for faster training. The agent dynamically adjusts Stockfish skill level based on performance.
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