Pinned Repositories
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
ECMLComp
galaxymorphology
An automatic taxonomy of galaxy morphology using unsupervised machine learning
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
sofia-ml
Automatically exported from code.google.com/p/sofia-ml
unsupervised
alexhock's Repositories
alexhock/object-detection-metrics
Python code for analysing object detection metrics
alexhock/pixplotml
A Visualization Tool for Image-based Machine Learning Projects - Great for object-detection and image classification projects
alexhock/galaxymorphology
An automatic taxonomy of galaxy morphology using unsupervised machine learning
alexhock/ECMLComp
alexhock/sofia-ml
Automatically exported from code.google.com/p/sofia-ml
alexhock/unsupervised
alexhock/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.
alexhock/CA
Cellular Automaton - Image Segmentation
alexhock/Clairvoyant
Software designed to identify and monitor social/historical cues for short term stock movement
alexhock/cv
alexhock/deep-reinforcement-learning-gym
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
alexhock/deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs
alexhock/features
alexhock/GalaxyServices
REST based service using Spring Boot to provision galaxy data
alexhock/InfoGAN
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
alexhock/predicting-customer-churn
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
alexhock/relational-networks
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
alexhock/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
alexhock/tf-vqvae
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
alexhock/topcluster
Unsupervised toplogical clustering - without pre-specifying K
alexhock/VaDE
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
alexhock/WTF