iun1xmd5 Goto Github PK

ad_examples

A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

cifar-10-uncertainty

cmuxstream-core

Static (Python) and streaming (C++) implementations of xStream (KDD 2018).

colloide

MCD's Colloide is a bruteforcing tool to find hidden pages, files and directories inside websites

conout

Contextual Outlier Detection with Multiple Contexts

curb

Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018

data

Data and code behind the articles and graphics at FiveThirtyEight

data_mining_project

Project of Introduction to Data Mining course

datamining

Different learning algorithms - GD, SGD, AdaGrad, ADAM - implemented from scratch

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning-time-series

LSTM for time series forecasting

deng-ai

Predicting outbreaks of dengue fever

dlbook_notation

LaTeX files for the Deep Learning book notation

ecg-detectors

A collection of ECG heartbeat detection algorithms implemented in Python

extreme

feredsn

This is just a testing staff

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

geolocation

Geolocation prediction for a given Tweet

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hdhp.py

Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm, WWW 2017

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

icpc-2018-artifacts

This repository contains the datasets used for the evaluation of the tool MoLFI: https://github.com/SalmaMessaoudi/MoLFI.git

imagenet18

Code to reproduce "imagenet in 18 minutes" experiments

impractical_python_projects

Code & supporting files for chapters in book

indaba-pracs-2019

instacart-basket-prediction

Kaggle | Instacart Market Basket Analysis🥕🥉

kaggle-ndsb

Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)