alexhock

object-detection-metrics

Python code for analysing object detection metrics

pixplotml

A Visualization Tool for Image-based Machine Learning Projects - Great for object-detection and image classification projects

galaxymorphology

An automatic taxonomy of galaxy morphology using unsupervised machine learning

ECMLComp

sofia-ml

Automatically exported from code.google.com/p/sofia-ml

unsupervised

azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

CA

Cellular Automaton - Image Segmentation

Clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

cv

deep-reinforcement-learning-gym

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

features

GalaxyServices

REST based service using Spring Boot to provision galaxy data

InfoGAN

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

predicting-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

tf-vqvae

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

topcluster

Unsupervised toplogical clustering - without pre-specifying K

VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

WTF