1616 Open source projects that are alternatives of or similar to Deepjazz

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

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

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

A cute multi-layer LSTM that can perform like a human 🎶

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

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

Keras tutorial for beginners (using TF backend)

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Sarcasm detection on tweets using neural network

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

CNN, LSTM, NBOW, fasttext 中文文本分类

Char-level RNN LSTM text generator📄.

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Word Embedding + LSTM + FC

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Efficient, transparent deep learning in hundreds of lines of code.

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Chinese Poetry Generation

A visualization tool for understanding and debugging RNNs

A Tensorfflow implementation of Attend, Infer, Repeat

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

copper price(time series) prediction using bpnn and lstm

PyTorch tutorial for learners

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Datasets, tools, and benchmarks for representation learning of code.

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

Machine learning, in numpy

All my experiments with AI and ML

Keras community contributions

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

My Attempt(s) In The World Of ML/DL....

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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.

List of articles related to deep learning applied to music

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Nested LSTM Cell

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Deep learning codes and projects using Python

Haste: a fast, simple, and open RNN library

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Reasoning Over Knowledge Graph Paths for Recommendation