saulhazelius

alkaloid-api

API for prediction of alkaloids from NMR. Deployed with AWS Lambda and Amazon API Gateway

customer-segmentation

ML clustering model for segmentation prediction and deployed using MLFlow and AWS SageMaker

deepFM

A PyTorch implementation of the deepFM (Deep Factorization Machines) model for click prediction

keras-mlflow-sentences-classification

ML experiments tracking

ML_ronin

Data Science and Machine Learning for ronins

neural-mass2mol

Neural architecture for molecular structure prediction via mass spectra

np-pred

Prediction of common natural product families from 13C NMR data

taller_fmat

Files and final python scripts. PythonMid MeetUp at FMat UADY

transformer-clustering

Comparison of Word2Vec and transformer-based architecture for clustering

transmol

Architecture based on the transformer for prediction of molecules represented as sequence of strings

saulhazelius/neural-mass2mol

Neural architecture for molecular structure prediction via mass spectra

saulhazelius/transformer-clustering

Comparison of Word2Vec and transformer-based architecture for clustering

saulhazelius/np-pred

Prediction of common natural product families from 13C NMR data

saulhazelius/taller_fmat

Files and final python scripts. PythonMid MeetUp at FMat UADY

saulhazelius/deepFM

A PyTorch implementation of the deepFM (Deep Factorization Machines) model for click prediction

saulhazelius/ML_ronin

Data Science and Machine Learning for ronins

saulhazelius/transmol

Architecture based on the transformer for prediction of molecules represented as sequence of strings

saulhazelius/alkaloid-api

API for prediction of alkaloids from NMR. Deployed with AWS Lambda and Amazon API Gateway

saulhazelius/customer-segmentation

ML clustering model for segmentation prediction and deployed using MLFlow and AWS SageMaker

saulhazelius/keras-mlflow-sentences-classification

ML experiments tracking

saulhazelius/ML_scratch

Here are included some basic machine learning algorithms from scratch.

saulhazelius/nmr2vec

Code and experiments for prediction of steroids using a set2vec architecture and NMR data.

saulhazelius/Reddit-Demographics-Segmentation

A full blown ML sentyment analysis app and statistic generator fed with an automatic ETL pipleline conformed by web crawling spiders deployed over configurable sub-reddits from the popular website "Reddit" -the scraped elements being only comments. Used tools: Scrapy, NLTK, Django, Scipy, Pandas, MongoDB and Pytorch. The objective to accomplish here is to get some practice deploying ML models and to also get a better grasp over ETL fundamentals and web scraping. May also eventually build a very shitty front end for the generated analytics.

saulhazelius/saulhazelius.github.io

saulhazelius/struct-pred

Prediction of molecules from spectra

saulhazelius/telco-churn-pred

Customer churn prediction. Includes EDA, model selection, and deployment with AWS Lambda and API Gateway