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

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

Hierarchical Attention Networks for Document Classification in PyTorch

Context-Dependent Sentiment Analysis in User-Generated Videos

Named Entity Recognition using multilayered bidirectional LSTM

datagrand 2019 information extraction competition rank9

Durable time-series database that's API-compatible with Prometheus.

Friendly machine learning for the web! 🤖

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

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

[Archive] High Volume Data Feed (HDVF) framework for time series data - This Repository is NOT a supported MongoDB product

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

The Open Source Time-Series Data Historian

Train an LSTM to generate piano or violin/piano music.

This curated list contains python packages for time series analysis

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

A JS library written in TS to transform sequences of data from format to another

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

A Time Series Data Browser

Neural Turing Machines (NTM) - PyTorch Implementation

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

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

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

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

Augmenting word embeddings with their surrounding context using bidirectional RNN

唐诗、宋词生成器，有详细说明

Convolutional Autoencoder for Loop Closure

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

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

文本情感分析

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

A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

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

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

Highly comparative time-series analysis

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

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

TSrepr: R package for time series representations

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

Fast and flexible Gaussian Process regression in Python

A framework for systemic risk valuation and analysis.

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

Social LSTM using PyTorch for Vehicle Data

A toolkit for working with time series in R

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Low-latency algorithmic trading platform written in Rust

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

Synthetic Data Generation for tabular, relational and time series data.

Simple iterator abstract datatype, intended to iterate efficiently on collections while performing some transformations.

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

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

LSTM and QRNN Language Model Toolkit for PyTorch

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

The deeplearning algorithms implemented by tensorflow

Python framework for Speech and Music Detection using Keras.

This package includes basic tools for time series analysis, compatible with incomplete data.

Models for predicting emotions from English tweets.

Sorting numbers with pointer networks

Image Captioning: Implementing the Neural Image Caption Generator with python

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.