932 Open source projects that are alternatives of or similar to Sequitur

ConText v4: Neural networks for text categorization

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

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

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

Time series analysis in Java

Plain Stock Close-Price Prediction via Graves LSTM RNNs

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

List of tools & datasets for anomaly detection on time-series data.

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

Voice Activity Detection based on Deep Learning & TensorFlow

Hurst exponent evaluation and R/S-analysis in Python

Financial market technical analysis & indicators in Julia

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

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

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。

Time Series Cross-Validation -- an extension for scikit-learn

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Imhotep is a large-scale analytics platform built by Indeed.

Extending broom for time series forecasting

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

scikit-learn-inspired time series

基于RNN生成古诗

Realtime animated graphs with PubNub and C3.

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

datagrand 2019 information extraction competition rank9

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

The Open Source Time-Series Data Historian

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

A Time Series Data Browser

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

A machine learning toolkit dedicated to time-series data

Convolutional Autoencoder for Loop Closure

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

An End-to-end Outlier Detection System

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)

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

A repository to keep track of all the code that I end up writing for my blog posts.

Pointer Networks Implementation in Keras

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

Scalable 1D Gaussian Processes in C++, Python, and Julia

Anomaly detection for streaming time series, featuring automated model selection.

Focal Frequency Loss for Generative Models

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

The plugin-driven server agent for collecting & reporting metrics.

Neural word segmentation with rich pretraining, code for ACL 2017 paper

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

ASAP: Prioritizing Attention via Time Series Smoothing

Explore Action Recognition

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

COVID-19 statistics for Germany. For states and counties. With time series data. Daily updates. Official RKI numbers.

Tensorflow implementation of conditional variational auto-encoder for MNIST

CRAN R Package: Time Series Missing Value Imputation

End-to-end earthquake detection pipeline via efficient time series similarity search

Cross-platform .NET library for InfluxDB distributed time-series database.

Open source time series library for Python

Implementation of the stacked denoising autoencoder in Tensorflow

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis