All Projects → Novelty Detection → Similar Projects or Alternatives

412 Open source projects that are alternatives of or similar to Novelty Detection

pytod
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Stars: ✭ 131 (-13.82%)
drama
Main component extraction for outlier detection
Stars: ✭ 17 (-88.82%)
Pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+3244.08%)
CCD
Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]
Stars: ✭ 30 (-80.26%)
Remixautoml
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Stars: ✭ 159 (+4.61%)
Pysad
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Stars: ✭ 87 (-42.76%)
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Stars: ✭ 1,210 (+696.05%)
Isolation Forest
A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
Stars: ✭ 139 (-8.55%)
Sfmlearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (+992.76%)
Mutual labels:  unsupervised-learning
Arflow
The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
Stars: ✭ 134 (-11.84%)
Mutual labels:  unsupervised-learning
Pytorch cpp
Deep Learning sample programs using PyTorch in C++
Stars: ✭ 114 (-25%)
Mutual labels:  anomaly-detection
Csi
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
Stars: ✭ 123 (-19.08%)
Mutual labels:  anomaly-detection
Autoregressive Predictive Coding
Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
Stars: ✭ 138 (-9.21%)
Mutual labels:  unsupervised-learning
Bcpd
Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available
Stars: ✭ 116 (-23.68%)
Mutual labels:  unsupervised-learning
Flappy Es
Flappy Bird AI using Evolution Strategies
Stars: ✭ 140 (-7.89%)
Mutual labels:  unsupervised-learning
Repo 2019
BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
Stars: ✭ 133 (-12.5%)
Mutual labels:  anomaly-detection
Gpnd
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (-26.32%)
Mutual labels:  anomaly-detection
Paysage
Unsupervised learning and generative models in python/pytorch.
Stars: ✭ 109 (-28.29%)
Mutual labels:  unsupervised-learning
Diff2vec
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Stars: ✭ 108 (-28.95%)
Mutual labels:  unsupervised-learning
Spherical Text Embedding
[NeurIPS 2019] Spherical Text Embedding
Stars: ✭ 143 (-5.92%)
Mutual labels:  unsupervised-learning
Unsupervised detection
An Unsupervised Learning Framework for Moving Object Detection From Videos
Stars: ✭ 139 (-8.55%)
Mutual labels:  unsupervised-learning
Log3c
Log-based Impactful Problem Identification using Machine Learning [FSE'18]
Stars: ✭ 131 (-13.82%)
Mutual labels:  anomaly-detection
Self Supervised Speech Recognition
speech to text with self-supervised learning based on wav2vec 2.0 framework
Stars: ✭ 106 (-30.26%)
Mutual labels:  unsupervised-learning
Back2future.pytorch
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
Stars: ✭ 104 (-31.58%)
Mutual labels:  unsupervised-learning
E3d lstm
e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Stars: ✭ 129 (-15.13%)
Mutual labels:  unsupervised-learning
Keras Oneclassanomalydetection
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
Stars: ✭ 102 (-32.89%)
Mutual labels:  anomaly-detection
3dpose gan
The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Stars: ✭ 124 (-18.42%)
Mutual labels:  unsupervised-learning
Splitbrainauto
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
Stars: ✭ 137 (-9.87%)
Mutual labels:  unsupervised-learning
Cleanlab
The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+1561.84%)
Mutual labels:  unsupervised-learning
Pyodds
An End-to-end Outlier Detection System
Stars: ✭ 141 (-7.24%)
Mutual labels:  anomaly-detection
Calc
Convolutional Autoencoder for Loop Closure
Stars: ✭ 119 (-21.71%)
Mutual labels:  unsupervised-learning
Oneshottranslation
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Stars: ✭ 135 (-11.18%)
Mutual labels:  unsupervised-learning
Foremast
Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable
Stars: ✭ 115 (-24.34%)
Mutual labels:  anomaly-detection
Lr Gan.pytorch
Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
Stars: ✭ 145 (-4.61%)
Mutual labels:  unsupervised-learning
Bio corex
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
Stars: ✭ 112 (-26.32%)
Mutual labels:  unsupervised-learning
Awesome Ts Anomaly Detection
List of tools & datasets for anomaly detection on time-series data.
Stars: ✭ 2,027 (+1233.55%)
Mutual labels:  anomaly-detection
Moco
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
Stars: ✭ 112 (-26.32%)
Mutual labels:  unsupervised-learning
Deepmapping
code/webpage for the DeepMapping project
Stars: ✭ 140 (-7.89%)
Mutual labels:  unsupervised-learning
Unsupervised Depth Completion Visual Inertial Odometry
Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
Stars: ✭ 109 (-28.29%)
Mutual labels:  unsupervised-learning
And
Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
Stars: ✭ 133 (-12.5%)
Mutual labels:  unsupervised-learning
Skip Ganomaly
Source code for Skip-GANomaly paper
Stars: ✭ 107 (-29.61%)
Mutual labels:  anomaly-detection
Awesome Sentence Embedding
A curated list of pretrained sentence and word embedding models
Stars: ✭ 1,973 (+1198.03%)
Mutual labels:  unsupervised-learning
Deepai
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Stars: ✭ 104 (-31.58%)
Mutual labels:  anomaly-detection
Awesome Community Detection
A curated list of community detection research papers with implementations.
Stars: ✭ 1,874 (+1132.89%)
Mutual labels:  unsupervised-learning
Ml Lib
An extensive machine learning library, made from scratch (Python).
Stars: ✭ 102 (-32.89%)
Mutual labels:  unsupervised-learning
Complete Life Cycle Of A Data Science Project
Complete-Life-Cycle-of-a-Data-Science-Project
Stars: ✭ 140 (-7.89%)
Mutual labels:  unsupervised-learning
Openuba
A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]
Stars: ✭ 127 (-16.45%)
Mutual labels:  anomaly-detection
Awesome Anomaly Detection
A curated list of awesome anomaly detection resources
Stars: ✭ 1,378 (+806.58%)
Mutual labels:  anomaly-detection
Ddflow
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Stars: ✭ 101 (-33.55%)
Mutual labels:  unsupervised-learning
Vizuka
Explore high-dimensional datasets and how your algo handles specific regions.
Stars: ✭ 100 (-34.21%)
Mutual labels:  unsupervised-learning
Stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
Stars: ✭ 2,019 (+1228.29%)
Mutual labels:  anomaly-detection
Abnormal event detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Stars: ✭ 139 (-8.55%)
Mutual labels:  anomaly-detection
Deepco3
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
Stars: ✭ 127 (-16.45%)
Mutual labels:  unsupervised-learning
Awesome Transfer Learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Stars: ✭ 1,349 (+787.5%)
Mutual labels:  unsupervised-learning
Text Summarizer
Python Framework for Extractive Text Summarization
Stars: ✭ 96 (-36.84%)
Mutual labels:  unsupervised-learning
Unsupervised Data Augmentation
Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
Stars: ✭ 127 (-16.45%)
Mutual labels:  unsupervised-learning
Self Supervised Relational Reasoning
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
Stars: ✭ 89 (-41.45%)
Mutual labels:  unsupervised-learning
Anomaly Detection In Surveillance Videos
Real-World Anomaly Detection in Surveillance Videos
Stars: ✭ 139 (-8.55%)
Mutual labels:  anomaly-detection
Tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Stars: ✭ 126 (-17.11%)
Mutual labels:  unsupervised-learning
Visual Feature Attribution Using Wasserstein Gans Pytorch
Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
Stars: ✭ 88 (-42.11%)
Mutual labels:  anomaly-detection
1-60 of 412 similar projects