Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural net...
Boltzmann Machines in TensorFlow with examples
Easy to use library to bring Tensorflow on Apache Spark
Mesh TensorFlow: Model Parallelism Made Easier
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
Interpretability Methods for tf.keras models with Tensorflow 2.x
Disentangled representation learning model for digital pathology data as a custom similarity metr...
Probabilistic reasoning and statistical analysis in TensorFlow