Pinned Repositories
ActiveLearningFrameworkTutorial
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
Brain-Voyant
A tool for classifying brain patterns from fMRI RAW DICOM data in real-time (and offline) based on machine learning methods.
KernelAlgorithms
A comparison of non vs kernel algorithms, such as KDE, PCA, SVM, Kmeans
PCAvsAutoencoder
A comparison of PCA & Autoencoder (linear & non linear) in terms of dense features and clustering results.
SpacyVsStanfordNER
A named-entity-recognition comparison between Spacy and Stanford NER using all US cities.
SVMLight_SVM2Weights
converts SVM Light's model to weights.
UnitTestAndDecoratorLogger
Unit test and logging example for research purposes on a classification problem using the MNIST data-set
www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
www.opscompendium.com
The Ops Compendium is a resource list for dataops, mlops, devops, etc, which I'm actively curating in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
orico's Repositories
orico/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
orico/ActiveLearningFrameworkTutorial
An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
orico/KernelAlgorithms
A comparison of non vs kernel algorithms, such as KDE, PCA, SVM, Kmeans
orico/SpacyVsStanfordNER
A named-entity-recognition comparison between Spacy and Stanford NER using all US cities.
orico/www.opscompendium.com
The Ops Compendium is a resource list for dataops, mlops, devops, etc, which I'm actively curating in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
orico/PCAvsAutoencoder
A comparison of PCA & Autoencoder (linear & non linear) in terms of dense features and clustering results.
orico/UnitTestAndDecoratorLogger
Unit test and logging example for research purposes on a classification problem using the MNIST data-set
orico/SVMLight_SVM2Weights
converts SVM Light's model to weights.
orico/deep-image-prior
Image restoration with neural networks but without learning.
orico/gitbook-demo
A GitBook about creating a GitBook for teaching
orico/NLP
nlp releated notebooks
orico/orico.github.io
orico/affinity
Python SDK for Affinity CRM REST API
orico/awesome-2vec
Curated list of 2vec-type embedding models
orico/Data-Science-Project-Template
Templates to practically manage your data science lifecycle
orico/deepdish
Flexible HDF5 saving/loading and other data science tools from the University of Chicago
orico/DeepMoji
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
orico/docs-site
orico/embedder
Embed categorical variables via neural networks.
orico/entity-embedding-rossmann
orico/Gospel-of-Health-Notebooks
Notebooks for A Gospel of Health and Salvation
orico/hebrew-word2vec
orico/jekylltest
orico/lda2vec
orico/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
orico/Neural-Sentiment-Analyzer-for-Modern-Hebrew
Neural Sentiment Analyzer for Modern Hebrew
orico/nlp_crash_course
Learning and practicing NLP with Deep Learning
orico/node2vec
orico/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
orico/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io