558 Open source projects that are alternatives of or similar to Deeplog

Anomaly detection tutorial on univariate time series with an auto-encoder

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Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

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Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

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Unsupervised anomaly detection with generative model, keras implementation

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

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Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

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List of articles related to deep learning applied to music

machine learning and deep learning tutorials, articles and other resources

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

STUMPY is a powerful and scalable Python library for modern time series analysis

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An End-to-end Outlier Detection System

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

Speaker independent emotion recognition

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

Voice Activity Detection based on Deep Learning & TensorFlow

Hastic data management server for labeling patterns and anomalies in Grafana

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

Anomaly detection for temporal data using LSTMs

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

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OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

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A curated list of applied machine learning and data science notebooks and libraries across different industries.

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

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

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ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

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