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

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

Show and Tell : A Neural Image Caption Generator

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Tensorflow Node.js Examples

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

Generate Thai Songs' lyrics using Deep Learning

keras를 이용한 딥러닝 기초 학습

使用LSTM训练生成古诗模型，其中生成器可以指定生成风格进行输出

Anomaly detection implemented in Keras

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

Sarcasm detection on tweets using neural network

A library for machine learning that builds predictions using a linear regression.

Curated Tensorflow code resources to help you get started with Deep Learning.

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Software for prediction of plasmid sequences in metagenomic assemblies

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

Sarcasm Detection for Sentiment Analysis

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

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

CRNN with attention to do OCR,add Chinese recognition

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

All about Neural Networks!

A new fork base on tess-two and Tesseract 4.0.0

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

nlp lecture-notes and source code

document classification using LSTM + self attention

No description or website provided.

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

Simple stock & cryptocurrency price forecasting console application, using PHP Machine Learning library (https://github.com/php-ai/php-ml)

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Vanilla LSTM with numpy

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

Time series based anomaly detector

This repository helps you understand python from the scratch.

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

Sentiment Analysis: Deep Bi-LSTM+attention model

RNN-LSTM that learns passwords from a starting list

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Earthquake Prediction Challenge with LightGBM and XGBoost

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.

No description or website provided.

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

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

host load prediction with Long Short-Term Memory in cloud computing

QA - Answer Selection (Rank candidate answers for a given question)

Recurrent Additive Networks for Tensorflow

🥕 Evolutionary Neural Networks in JavaScript

Software for verifying weather forecasts

A LSTM model using Risk Estimation loss function for stock trades in market

Keras implementation of video classifier

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

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

flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine

MLBox is a powerful Automated Machine Learning python library.

No description or website provided.

Hierarchical Attention Networks for Document Classification in PyTorch