566 Open source projects that are alternatives of or similar to Thio

Anomaly detection implemented in Keras

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.

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.

Anomaly detection for temporal data using LSTMs

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.

Time series based anomaly detector

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

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

Faster and more precisely than Grad-CAM

ADRepository: Real-world anomaly detection datasets

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

High-performance time series algorithms for Ruby

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

A thesis submitted for the degree of Master of Science in Computer Networks and Security

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Seperate vietnamese using lstm

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

rnn trained on r/totallynotrobots 🤖

No description or website provided.

OpenSnitch is a GNU/Linux application firewall

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Image captioning using attention models

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

Core functionality for the Autonomio augmented intelligence workbench.

Useful Toolbox for Anomaly Detection

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Hybrid Code Networks https://arxiv.org/abs/1702.03274

Dimensionality reduction

Lightweight C++11 library for building deep recurrent neural networks

LSTM RNN for sentiment-based stock prediction

State of the art Chinese Word Segmentation with Bi-LSTMs

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置

Benchmark for DeepLearning anomaly detection

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Stacked Denoising AutoEncoder based on TensorFlow

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Samples for TensorFlow binding for .NET by Lost Tech

stock predict by cnn and lstm

CPU and GPU implementations of some 2D RNN layers

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

language models toolkits with hierarchical softmax setting

VirNet: A deep attention model for viral reads identification

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

A Keras library for multi-step time-series forecasting.

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

An open-source sleep stage classification Python package

A siamese LSTM to detect sentence/question pairs.

An R package for space-time anomaly detection using scan statistics.

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

No description or website provided.

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch