389 Open source projects that are alternatives of or similar to PyAnomaly

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

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

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Perfect TensorFlow Server Example of Computer Vision

fast implementation of singular spectrum transformation (change point detection algorithm)

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

OpenSnitch is a GNU/Linux application firewall

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Demonstrations for the interactive exploration of selected core concepts of audio, image and video processing as well as related topics

A collection of Methods and Models for various architectures of Artificial Neural Networks

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

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

👻 A curated list of awesome VLC and LibVLC resources.

ADRepository: Real-world anomaly detection datasets

Resources for working with time series and sequence data

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch

The "Supersymmetric Artificial Neural Network" (or "Edward Witten/String theory powered artificial neural network") is a Lie Superalgebra aligned algorithmic learning model, based on evidence pertaining to Supersymmetry in the biological brain.

KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks

Music player for big local collections

anomaly detection with anomalize and Google Trends data

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

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

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

Nuerapse simulations for SNNs

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

OCaml interface to SDL 2.0 (for Linux, Windows, MacOS, and ChromeBook)

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

Repository containing Jupyter Notebooks for the TensorFlow in Practice specialization in Coursera

A curated list of “Temporally Language Grounding” and related area

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

benfordslaw is about the frequency distribution of leading digits.

Benchmark for DeepLearning anomaly detection

A Deep-Learning multi-purpose chatbot made using Python3

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

Training with FP16 weights in PyTorch

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

⭐ An anomaly-based intrusion detection system.

Deep Learning using Rectified Linear Units (ReLU)

A beginner's roadmap to getting started in Machine Learning, by COPS IIT(BHU).

Threat Detection & Anomaly Detection rules for popular open-source components

High-performance time series algorithms for Ruby

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

本文对OpenMAX IL协议的1.0版本进行的中文的翻译，同时也有英文版的对照

The GeniSys TASS Devices & Applications use Siamese Neural Networks and Triplet Loss to classify known and unknown faces.

A simple implementation to create and train a neural network in python. This implementation does not use any machine learning framework.

The archive of The Black Crown Project, a now-dismembered narrative web game.

An app that allows Pd users to run patches in a web browser and share them with a web link

A collection of deep learning models with a unified API.

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).

Classifying the Blur and Clear Images

Deploying a Batch Scoring Pipeline for Python Models

Cut out objects and remove backgrounds from pictures with artificial intelligence

CP-360-Weakly-Supervised-Saliency

No description or website provided.

ACM MM 2021: 'Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection'

A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.

Faster and more precisely than Grad-CAM

EmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.

C++ bindings for libVLC