Deep learning for time-varying multi-entity datasets
-
Updated
May 12, 2018 - Python
Deep learning for time-varying multi-entity datasets
Implementation of machine learning algorithms and evaluations on MNIST dataset.
Given a directed social graph, we have to predict missing edges to recommend friends/connnections/followers in the graph.
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.
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).
🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
Updated code for different query featurizations for MSCN
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
Engine to create f3atur3s that can be ingested by m0d3ls
Interface package for featurizing atomic structures
An ecosystem for digital reticular chemistry
A Python library to infer from sequences
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.
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Add a description, image, and links to the featurization topic page so that developers can more easily learn about it.
To associate your repository with the featurization topic, visit your repo's landing page and select "manage topics."