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adrepository-anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets

analyzing-the-effectiveness-of-debt-collection-strategies

A Python Notebook which employs Discontinuity Regression to measure the effectiveness of a bank's debt recovery strategies.

artefacts

BIAN artefacts in Excel

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-research-iclr2024

It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

clustering-using-k-means-

Clustering using K-means algorithms in Iris data in Python

colab

current-married-clustering-un-data

darknet

Convolutional Neural Networks

data-mining-and-big-data-analytics-book

This repository is made for my book: "Data Mining and Big Data Analytics". It contains all the codes and the dataset used in the book.

data-science--cheat-sheet

Cheat Sheets

datacamp-applied-finance-projects

Collection of Data science projects related to Applied Finance

datacamp-projects

Hands-on codes in Data Science space on Datacamp

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dk-for-tst

This is the code for the paper "Learning Deep Kernels for Non-Parametric Two-Sample Tests".

execr

R language running in Teradata database

facebook-pytorch-challenge-notes

faqs_pytorch_scholarship

FAQs in Slack channel of Udacity's PyTorch Scholarship Challenge.

git-presentation

graph_nets

Build Graph Nets in Tensorflow

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

gtn

hackathon

keras

Deep Learning for humans

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

nodecentricgraphlearningfromdataeudata

In this repository, we have modified GraphSAGE representation learning code in many ways to implement our proposed "Node-Centric Graph Learning" algorithm from data. We use the proposed algorithm for brain state identification and more specificly, seizure detection. The ECoG recordings are from the EU data collection.

predicting-survivals

Predicting the survivals using Titanic data

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)