82 Open source projects that are alternatives of or similar to Phasedlstm Keras

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

All the code files related to the deep learning course from PadhAI

Image Captioning: Implementing the Neural Image Caption Generator with python

A simple open domain generative based chatbot based on Recurrent Neural Networks

Char-level RNN LSTM text generator📄.

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

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

Translating English sentences to Marathi using Neural Machine Translation

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

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

Understanding and visualizing PyTorch Batching with LSTM

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

Stock Price Prediction using Machine Learning Techniques

Classification of Urban Sound Audio Dataset using LSTM-based model.

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Vanilla LSTM with numpy

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

Generating Captions for images using Deep Learning

Solving POMDP using Recurrent networks

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

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

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

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we pres…

Python Library for Model Interpretation/Explanations

Optical character recognition Using Deep Learning

Aspect Based Sentiment Analysis

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras

Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

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

List of papers, code and experiments using deep learning for time series forecasting

An LSTM example using tensorflow to predict the next word in a text

PyTorch tutorial for learners

bitcoin prediction algorithms

Introducing neural networks to predict stock prices

雷达回波外推，ConvLSTM，训练模型并外推。

Generate monophonic melodies with machine learning using a basic LSTM RNN

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

CNN, LSTM, NBOW, fasttext 中文文本分类

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

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

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

Video to Text: Generates description in natural language for given video (Video Captioning)

Context-Dependent Sentiment Analysis in User-Generated Videos

Sentence paraphrase generation at the sentence level