535 Open source projects that are alternatives of or similar to Keras Timeseries Prediction

Video prediction using lstm and unet

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

Some of the ML and DL related reading materials, research papers that I've read

NN based lossless compression

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

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

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

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Context-Dependent Sentiment Analysis in User-Generated Videos

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

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

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

CNNs for semantic segmentation using Keras library

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

Neural machine translator for English2German translation.

Bert-classification and bert-dssm implementation with keras.

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

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Char-level RNN LSTM text generator📄.

CNN, LSTM, NBOW, fasttext 中文文本分类

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

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。

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

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Use unsupervised and supervised learning to predict stocks

implementation of STGCN for traffic prediction in IJCAI2018

Discovering known and novel miRNAs from small RNA sequencing data

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

A high-level machine learning and deep learning library for the PHP language.

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Sarcasm detection on tweets using neural network

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

document classification using LSTM + self attention

Time series based anomaly detector

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

A Python library for integrating model-based and judgmental forecasting

A Python package for gender classification.

A Tensorflow based implicit recommender system

Application of machine learning to the Coinbase (GDAX) orderbook

copper price(time series) prediction using bpnn and lstm

LSTM and CNN sentiment analysis

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

This repo contains code to detect sarcasm from text in discussion forum using deep learning

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基于 Bi-LSTM 和 CRF 的中文语义角色标注

[NeurIPS 2019] Deep Set Prediction Networks

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

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Social LSTM using PyTorch for Vehicle Data

Python framework for Speech and Music Detection using Keras.

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

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Image Captioning: Implementing the Neural Image Caption Generator with python

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study