Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks
MIT License
A Python package for building Bayesian models with TensorFlow or PyTorch
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Interpretability Methods for tf.keras models with Tensorflow 2.x
A library that includes pure TF/Keras preprocessing and augmentation layers, providing support fo...
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimati...
Fast and flexible AutoML with learning guarantees.
Probabilistic reasoning and statistical analysis in TensorFlow
A curated list of dedicated resources and applications
Header-only library for using Keras (TensorFlow) models in C++.
Neural network visualization toolkit for keras
Awesome Domain Adaptation Python Toolbox