723 Open source projects that are alternatives of or similar to Timecop

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.

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

Kibana Alert & Report App for Elasticsearch

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Time Series Ensemble Forecasting

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Sherlock is an anomaly detection service built on top of Druid

Thio - a playground for real-time anomaly detection

Hastic data management server for labeling patterns and anomalies in Grafana

Anomaly detection

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

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

A toolkit for working with time series in R

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Anomaly detection for temporal data using LSTMs

Keras implementation of video classifier

Hastic data management server for analyzing patterns and anomalies from Grafana

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.

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Anomaly detection for streaming data using autoencoders

https://events.kaspersky.com/hackathon/

Extending broom for time series forecasting

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

Anomaly detection implemented in Keras

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

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

Go Share your TimeSeries/NameSpace/KeyVal DataStore (using leveldb) over HTTP &/or ZeroMQ

LSTM-CRF for NER with ConLL-2002 dataset

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

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

The Official Deep Learning Framework for Route-based Place Recognition

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Sign Language Recognition for Deaf People

Distributed "massively parallel" SQL query engine

Augmenting word embeddings with their surrounding context using bidirectional RNN

Plotting and logging of real-time data for desktop.

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

A tool for generating random, yet realistic, time series values

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

Application of machine learning to the Coinbase (GDAX) orderbook

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

A Natural Language Toolkit for Indian Languages

Interpolation-Prediction Networks for Irregularly Sampled Time Series

Social LSTM using PyTorch for Vehicle Data

Efficient and easy to use transliteration for Indian languages

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

A machine learning plugin in Open Distro for Elasticsearch for real time anomaly detection on streaming data.

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。

Python framework for Speech and Music Detection using Keras.

Another attempt to use Deep-Learning in the financial markets

keras를 이용한 딥러닝 기초 학습

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

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

An Unsupervised Graph-based Toolbox for Fraud Detection