SentryPeerA distributed peer to peer list of bad actor IP addresses and phone numbers collected via a SIP Honeypot.
Stars: ✭ 108 (+83.05%)
DGFraud-TF2A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Stars: ✭ 84 (+42.37%)
genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
Stars: ✭ 21 (-64.41%)
IDVerification"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.
Stars: ✭ 44 (-25.42%)
bitcloutDAODecentralized Social Network Money Frauds/Scams including BitClout / DeSo, Twetch, Steemit, PeakD
Stars: ✭ 29 (-50.85%)
deepADDetection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…
Stars: ✭ 65 (+10.17%)
Anomaly Detectionanomaly detection with anomalize and Google Trends data
Stars: ✭ 38 (-35.59%)
AgePredictorAge classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum
Stars: ✭ 13 (-77.97%)
Data-Scientist-In-PythonThis repository contains notes and projects of Data scientist track from dataquest course work.
Stars: ✭ 23 (-61.02%)
BoostarootaA fast xgboost feature selection algorithm
Stars: ✭ 165 (+179.66%)
Kranglkrangl is a {K}otlin DSL for data w{rangl}ing
Stars: ✭ 430 (+628.81%)
FingerprintjsBrowser fingerprinting library with the highest accuracy and stability.
Stars: ✭ 15,481 (+26138.98%)
CARE-GNNCode for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Stars: ✭ 121 (+105.08%)
Statistical-Learning-using-RThis is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (-54.24%)
vlainic.github.ioMy GitHub blog: things you might be interested, and probably not...
Stars: ✭ 26 (-55.93%)
taller SparkRTaller SparkR para las Jornadas de Usuarios de R
Stars: ✭ 12 (-79.66%)
genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
Stars: ✭ 34 (-42.37%)
PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+8515.25%)
Data miningThe Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms
Stars: ✭ 10 (-83.05%)
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (+191.53%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (+189.83%)
Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
Stars: ✭ 191 (+223.73%)
suspicidySuspicidy aims to detect suspicious web requests
Stars: ✭ 13 (-77.97%)
DatascienceCurated list of Python resources for data science.
Stars: ✭ 3,051 (+5071.19%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-62.71%)
Papers Literature Ml Dl Rl AiHighly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Stars: ✭ 1,341 (+2172.88%)
MispMISP (core software) - Open Source Threat Intelligence and Sharing Platform
Stars: ✭ 3,485 (+5806.78%)
FingerprintjsBrowser fingerprinting library with the highest accuracy and stability.
Stars: ✭ 15,481 (+26138.98%)
RioGNNReinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Stars: ✭ 46 (-22.03%)
Php MlPHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+13289.83%)
neptune-examplesExamples of using Neptune to keep track of your experiments (maintenance only).
Stars: ✭ 22 (-62.71%)
ClevercsvCleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.
Stars: ✭ 887 (+1403.39%)
Suod(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Stars: ✭ 245 (+315.25%)
PaperWeeklyAI📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
Stars: ✭ 50 (-15.25%)
OLSTECOnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Stars: ✭ 30 (-49.15%)
pycobrapython library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (+88.14%)
fast-loaded-dice-rollerThe Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
Stars: ✭ 41 (-30.51%)
WikiChronData visualization tool for wikis evolution
Stars: ✭ 19 (-67.8%)
ml course"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Stars: ✭ 22 (-62.71%)
TextClassification基于scikit-learn实现对新浪新闻的文本分类,数据集为100w篇文档,总计10类,测试集与训练集1:1划分。分类算法采用SVM和Bayes,其中Bayes作为baseline。
Stars: ✭ 86 (+45.76%)
MLDemosMachine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.
Stars: ✭ 46 (-22.03%)
Neural-Scam-ArtistWeb Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.
Stars: ✭ 18 (-69.49%)
hierarchical-clusteringA Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
Stars: ✭ 62 (+5.08%)
deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-71.19%)
pmj-cpp"Progressive Multi-Jittered Sample Sequences" in C++
Stars: ✭ 34 (-42.37%)
data science portfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 51 (-13.56%)
scibloxsciblox - Easier Data Science and Machine Learning
Stars: ✭ 48 (-18.64%)