This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

Understanding the effects of data parallelism and sparsity on neural network training

Neural Network Training Fingerprint (NNTF) is a visualization approach to analyze the training process of any neural network performing classification.

Neural network for recognizing handwritten numbers

🧠 Automated neural network ablation studies using LLM agents and LangGraph. Systematically remove components, test performance, and gain insights into architecture importance through an intelligent multi-agent workflow.

Conjunto de ferramentas para lidar com treinamentos de redes neurais artificiais

An Open Source Machine Learning Framework for Everyone

Real-time Object Detection and Neural Network Training Visualization

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

Simple implementation of a 3 layer MLP network using numpy.

This repository documents the process of finding the optimal learning rate for deep neural networks

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.