660 Open source projects that are alternatives of or similar to Wavetorch

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

1st place solution

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

RNN based Time-series Anomaly detector model implemented in Pytorch.

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Reusable CNN and RNN model doing time series binary classification

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

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！

Series and Panels for Real-time and Exploratory Analysis of Data Streams

Collection of useful data science topics along with code and articles

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Ruby client for InfluxDB

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

💡 A Distributed and High-Performance Monitoring System. Prometheus enterprise edition

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

A deep learning library to provide algs in pure Numpy or Tensorflow.

A python library for Bayesian time series modeling

Keras tutorial for beginners (using TF backend)

Code for "Neural Controlled Differential Equations for Irregular Time Series"

Scientific time series and deep learning state of the art

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

A toolkit for working with time series in R

Chart.js plugin for live streaming data

Distributable time-series database (not actively maintained)

Python implementation of soft-DTW.

Implementing Recurrent Neural Network from Scratch

An open-source, low-code machine learning library in Python

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of data in real-time.

Low-latency algorithmic trading platform written in Rust

Predict bitcoin price with deep learning

DeltaPy - Tabular Data Augmentation (by @firmai)

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.

Fast and flexible Gaussian Process regression in Python

Experiment diverse Deep learning models for music generation with TensorFlow

AtsPy: Automated Time Series Models in Python (by @firmai)

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

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Deep Recurrent Neural Networks for Source Separation

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

CNN-RNN中文文本分类，基于TensorFlow

An open source SQL database designed to process time series data, faster

Tidy anomaly detection

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Multiple implementations for abstractive text summurization , using google colab

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Timelines Chart

Machine learning models for time series analysis

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

The Chronix Server implementation that is based on Apache Solr.

Nonlinear Nonparametric Statistics