6953 Open source projects that are alternatives of or similar to Stylenet

PyTorch tutorial for learners

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)

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

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

Chinese Poetry Generation

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

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Natural Language Processing with TensorFlow, published by Packt

Deep learning driven jazz generation using Keras & Theano!

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

All about Neural Networks!

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

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

Sentiment Analysis with LSTMs in Tensorflow

Keras tutorial for beginners (using TF backend)

All my experiments with AI and ML

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。

Stock Price Prediction using Machine Learning Techniques

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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

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

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

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

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

copper price(time series) prediction using bpnn and lstm

Neural machine translator for English2German translation.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Detecting emotions using MFCC features of human speech using Deep Learning

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

Event-based music generation with RNN using PyTorch

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

CNN, LSTM, NBOW, fasttext 中文文本分类

Char-level RNN LSTM text generator📄.

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

LSTM and GRU in PyTorch

The deeplearning algorithms implemented by tensorflow

Word Embedding + LSTM + FC

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

1st place solution

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

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

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

基于RNN生成古诗

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

C++ library for audio and music analysis, description and synthesis, including Python bindings

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

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

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html