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

A visualization tool for understanding and debugging RNNs

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

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

Reasoning Over Knowledge Graph Paths for Recommendation

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

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

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

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

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

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Deep Learning

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

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.

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

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Train an LSTM to generate piano or violin/piano music.

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Deep Reinforcement Learning for Keras.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

An implementation of RNN-RBM & GBRBM.

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Chatbot in 200 lines of code using TensorLayer

All about Neural Networks!

Finding the genre of a song with Deep Learning

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

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

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

Augmenting word embeddings with their surrounding context using bidirectional RNN

copper price(time series) prediction using bpnn and lstm

CNN, LSTM, NBOW, fasttext 中文文本分类

language model in Chinese，基于Pytorch官方文档实现

Sarcasm detection on tweets using neural network

Char-level RNN LSTM text generator📄.

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

PyTorch tutorial for learners

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Machine learning, in numpy

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)

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

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.

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

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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

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

Chinese Poetry Generation

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。

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

Anomaly detection for temporal data using LSTMs

Deep learning codes and projects using Python

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

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

The Official Deep Learning Framework for Route-based Place Recognition

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

List of articles related to deep learning applied to music