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varunia's Projects

actuarialdatascience icon actuarialdatascience

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.

adbench icon adbench

Official Implement of "ADBench: Anomaly Detection Benchmark".

aima-python icon aima-python

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

argmax_flows icon argmax_flows

Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"

bpn icon bpn

Belief Propagation Network for Hard Inductive Semi-Supervised Learning (IJCAI 2019)

conditionalvi icon conditionalvi

Implementation of "CATVI: Conditional and Adaptively Truncated VariationalInference for Hierarchical Bayesian Nonparametric Models” in Python

cross-sell-insurance-business-simulation icon cross-sell-insurance-business-simulation

This project is to develop a machine learning model to predict customer interested for Cross-Selling in Insurance industry but many of the technical aspects are controlled from the business requirements.

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

hdr icon hdr

Jupyter Book version of my Habilitation thesis (HDR) entitled "Machine Learning for Time Series"

hgcn icon hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

hyphc icon hyphc

Hyperbolic Hierarchical Clustering.

kgemb icon kgemb

Hyperbolic Knowledge Graph embeddings.

nab icon nab

The Numenta Anomaly Benchmark

neuralforecast icon neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:

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