Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on labeled bag-of-words dataset, as described in Hughes et al. AISTATS 2018
Starter code for working with the YouTube-8M dataset.
Python bindings for the PROSAIL canopy reflectance model
Repository contains code for artificial image generation using generative models, namely, Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN).
Python Model to Text framework for PyEcore, including the Ecore to Python generator
A python implementation for a CNTK Fast-RCNN evaluation client
Data Version Control | Git for Data & Models | ML Experiments Management
Provide an input CSV and a target field to predict, generate a model + code to run it.