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.

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

Tensorflow Examples

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.

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

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.

Collection of Machine Learning Algorithms and related Example

Machine learning library for classification tasks

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

Machine learning library for classification tasks

Transcriptome long-read orientation with Deep Learning

Capstone Project: Bank Customer Classification System

Implementação simples da rede neural Perceptron Multicamadas em Javascript.

Stochastic Optimisation: Monte carlo methods for data analysis and inference

contains exercise solution

Deep learning models in Python

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

A clean, pure C++/CUDA implementation of Capsule Networks, no cuDNN, TF, Keras, or libraries.

This is a project that contains several techniques of AI to data forecast.

Machine learning software

This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.