Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).

An ecosystem for digital reticular chemistry

Interface package for featurizing atomic structures

Deep learning for time-varying multi-entity datasets

Python python toolset for Structure-Informed Property and Feature Engineering with Neural Networks. It offers unique advantages through (1) effortless extensibility, (2) optimizations for ordered, dilute, and random atomic configurations, and (3) automated model tuning.

Given a directed social graph, we have to predict missing edges to recommend friends/connnections/followers in the graph.

Updated code for different query featurizations for MSCN

A Python library to infer from sequences

Engine to create f3atur3s that can be ingested by m0d3ls

In this project at the Rostlab (TUM), I search for the best way to encode small molecules for deep learning applications. The basis are SMILES, therefore this is featurization of SMILES.

Implementation of machine learning algorithms and evaluations on MNIST dataset.

Predicting compressive strength of concrete using machine learning models with featurization and Hyper parameter tuning

Efficient Sentencing Encoding and Vectorization techniques with customer reviews on a product page of the popular E-Commerce website, Amazon using proven NLP techniques for the purpose of sentiment analysis.

🍻 In this challenge we are given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph).