487 Open source projects that are alternatives of or similar to FARED_for_Anomaly_Detection

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

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.

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.

1st place solution

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

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

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Cross-platform system interface for hardware IO

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

Recurrent Additive Networks for Tensorflow

HTML5 media streamer library for playing music, video, playlist, or even live streaming microphone & camera with node server

A quick and dirty vehicle speed detector using video + anomaly detection

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

The collection of pre-trained, state-of-the-art AI models for ailia SDK

macOS menu bar application for the mic mute/unmute with single click or shortcut with walkie-talkie style support

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)

Multi-time-horizon solar forecasting using recurrent neural network

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

Char RNN Language Model based on Tensorflow

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

A chrome extension which disables the automatic microphone gain control in the MediaStream Web API.

LSTM based human activity recognition using smart phone sensor dataset

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

IAM dataset

Implementation of feature engineering from Feature engineering strategies for credit card fraud

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.

A simple iOS application redirects microphone input to the Bluetooth audio device

基于智能计算框架nupic的异常检测restful Api.

Reusable CNN and RNN model doing time series binary classification

Python＆機械学習ライブラリ TensorFlow の使い方の練習コード集。特にニューラルネットワークを重点的に取り扱い。

Imageboard bot with recurrent neural network (RNN, GRU)

Control your microphone using keyboard and mouse hotkeys.

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Sherlock is an anomaly detection service built on top of Druid

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

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Video short title classification.

Hands-on in-person workshop for Deep Learning with TensorFlow

中国古诗生成（文本生成）

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

No description or website provided.

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Enhanced BiLSTM Inference Model for Natural Language Inference

Implementation of a LSTM with TensorFlow and distributed on Apache Spark

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

Source code for https://speaker.app, a batteries-included, web-based, quasi-decentralized, WebRTC networking platform, with a primary focus on audio and screen-sharing, and a secondary focus on chat messages and peripheral features.

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

A package to structure Australian addresses

A simple iOS application that records audio and plays it back. (+some animations)

RNN-LSTM that learns passwords from a starting list

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.