pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Fake Image Detection Using Machine Learning

PyTorch tutorial for learners

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.

Gene2Vec: Distributed Representation of Genes Based on Co-Expression

Machine Learning Library, written in J

Simple multilayer perceptron c++ implementation.

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

Tensorflow Examples

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat

face recognition with deep learning

A program that allows you to translate neural networks created with Keras to fuzzy logic programs, in order to tune these networks from a given dataset.

Machine learning library for classification tasks

Collection of Machine Learning Algorithms and related Example

Machine learning library for classification tasks

Transcriptome long-read orientation with Deep Learning

Tutorial: A Feed Forward Neural Network with Backpropagation in just a few Lines of Python Code

contains exercise solution

Implementação simples da rede neural Perceptron Multicamadas em Javascript.

Capstone Project: Bank Customer Classification System

Artificial neural networks (BCM, BAM, MLP, SOM, etc.)

Stochastic Optimisation: Monte carlo methods for data analysis and inference

Feedforward neural network that uses only numpy matrix operations.

Deep learning models in Python

Machine learning based api that classifies the type of disease of a crop proccesing hyperspectral data with different type of neural network models