Thoughts, ideas, ramblings, and stories about ponies.

Nextjs Minimum Temperature Predictions since 1991 in Melbourne with dataset Daily Minimum Temperatures in Melbourne

Extending the Micrograd Framwork developed by Andrej Kaparthy. will be used to run standard ML methods such as MLPs, LSTM, RNN, CNN and Transformers

This project is an introduction to artificial neural networks thanks to the implementation of a multilayer perceptron.

Machine Learning No-Code Environment

A resource-conscious neural network implementation for MCUs

Se realizo para la prediccion de pronostico de temperatura minima en melbourne entrenando modelos LSTM,MLP,1D y transformers para realizar cual de estos da resultados mejores.

Implementing neural networks from scratch for a deeper understanding of concepts, featuring a Jupyter notebook with derivative-based implementations.

My solutions to Stanford CS231n.

🧠Training many MLP neural networks with Juptyer Notebook and Python

Brique.rs is a toy project with the objective of implementing a MLP in rust without the use of any other lib outside of the std lib of rust

This is the original source code that powered RiiShop back in 2024 January when the whole RiiShop situation happened, this zip contains there website, the Discord bot source code, the RiiShop backend, as well as the WAD assets, that you'll need to re-compile RiiShop if you plan on making your own Wii revivial.

Implementação do Trabalho de conclusão de curso, com o tema definido "Aproximação da cinemática inversa de um robô manipulador didático através de algoritmos de aprendizado de máquina"

Small autodiff lib and a simple working feedforward neural net in Haskell on top of it, from scratch, zero-deps.

GECCO is a lightweight image classifier based on single MLP and graph convolutional layers. We find that our model can achieve up to 16x better latency than other state-of-the-art models. The paper for our model can be found at https://arxiv.org/abs/2402.00564

[CVPR2024 Oral && Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration

A fully-connected neural network (also known as a multi-layer perceptron or MLP) for training the MNIST dataset

🧠Training a MLP neural network using Jupyter Notebook and Python.

Study of the impact of a Randomized ReLU function on the performance of a neural network model.

This repository contains a Jupyter Notebook file equipped with code for identifying the position of digits in a Sudoku puzzle and solving it. The notebook implements algorithms for Sudoku puzzle solving, offering a practical tool for enthusiasts and learners alike to explore and understand Sudoku solving techniques. 2-2 METHODS FOR BOTH TASKS.