Algorithms for explaining machine learning models
2D and 3D Face alignment library build using pytorch
Fit interpretable models. Explain blackbox machine learning
Python package for AutoML on Tabular Data with Feature Engineering
The easiest way to use deep metric learning in your application
Bitmap & tilemap generation from a single example
Book about interpretable machine learning
Sequential model-based optimization with a `scipy.optimize` interface
Provide an input CSV and a target field to predict, generate a model
Python library for model interpretation/explanations
Learning infinite-resolution image processing with GAN and RL
A probabilistic programming language in TensorFlow
The easiest C++ way to deal with constraints !
Sphere surface layers of visual cortex approach maximum info density