Andrewwango/dynamic_vaes Andrewwango/dynamic_vaes

  • Stars
    star
    2
  • Language
    Jupyter Notebook
  • Created almost 3 years ago
  • Updated almost 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Andrewwango/dynamic_vaes
github

Andrewwango

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

open-set-resnet

Open set classification of car models. This 3-step classifier solves the problem where dogs are classified as cars, by first filtering these images out using ResNet CNNs transfer-trained on different datasets.
Jupyter Notebook
8
star
2

perspective-equivariant-imaging

Repository for Perspective-Equivariant Imaging: Unsupervised Framework for Multispectral Pansharpening
Jupyter Notebook
2
star
3

gpx-overpass-googlemaps-tutorial

Repo hosting blog "How to find places along a GPX route in Python using Overpass API and Google Maps Places API"
Jupyter Notebook
2
star
4

deepinv-experiments

Template for deep learning experiments using the DeepInverse library
Python
1
star
5

andrewwango.github.io

HTML
1
star
6

gpr-mcmc

Gaussian Process Regression (GPR) with non-Gaussian likelihoods using robust infinite-dimension Monte Carlo Markov Chain (MCMC) sampling for spatial inference problems
Jupyter Notebook
1
star
7

femda

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
Python
1
star
8

aws-custom-calls

An AWS serverless AI services pipeline for analysing call center calls, with custom analytics built around AWS Transcribe and AWS Comprehend and insights published on AWS Quicksight.
Python
1
star
9

govuk-accessible-search

An intelligent search bar to improve accessibility on GOV.UK/NHS.UK pages using OpenAI
CSS
1
star
10

neo4j-demos

Demonstrating and visualising graph data science and ML using neo4j and GDS with the Northwind and Cora datasets
Jupyter Notebook
1
star