272 Open source projects that are alternatives of or similar to Musicgenerator

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Deep Learning

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Classify signal using Deep Learning on Tensorflow and various machine learning models.

Tensorflow RNN Tutorial

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

CPU and GPU implementations of some 2D RNN layers

This is my graduation project in BIT. Title: Noise Reduction Using GRU.

Imageboard bot with recurrent neural network (RNN, GRU)

Lightweight C++11 library for building deep recurrent neural networks

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

ECE 535 - Course Project, Deep Learning Framework

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

Online Hand Writing Recognition using BLSTM

Assessing Source Code Semantic Similarity with Unsupervised Learning

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Multi-time-horizon solar forecasting using recurrent neural network

PyTorch implementation of Convolutional Recurrent Neural Network

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

recaptcha with lstm and mxnet

CNN Event Detection & RNN Phase Picking (in Tensorflow)

rnn trained on r/totallynotrobots 🤖

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

Question-Answering NLP model with character-level RNN (TensorFlow).

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

2018“云移杯- 景区口碑评价分值预测

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Jupyter notebooks for Chainer hands-on

Hybrid Code Networks https://arxiv.org/abs/1702.03274

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Computer-generated poetry

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

cRNN-GAN to generate music by training on instrumental music (midi)

Machine Learning (EE 5184) in NTU

A siamese LSTM to detect sentence/question pairs.

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

A fast implementation of Neural Image Caption by Chainer

Neural networks library for machine learning on PHP

Running compostionality tests on InferSent embedding on SNLI