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Search results for python multilayer perceptron network

multilayer-perceptron-network x

11 search results found

Pytorch Kaldi ⭐ 2,138

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.

Sound Classification On Raspberry Pi With Tensorflow ⭐ 81

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

Gene2vec ⭐ 37

Gene2Vec: Distributed Representation of Genes Based on Co-Expression

Audio Classification Using Cnn Mlp ⭐ 28

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.

Nonlincausality ⭐ 20

Python package for Granger causality test with nonlinear forecasting methods.

Neuroevolution Flappy Bird ⭐ 15

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

Classification Py ⭐ 11

Machine learning library for classification tasks

Neuro Floper ⭐ 8

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.

Hedge Fund Stock Market Analysis ⭐ 7

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

Capstone_project ⭐ 5

Capstone Project: Bank Customer Classification System

Reorientexpress ⭐ 5

Transcriptome long-read orientation with Deep Learning

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