A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
MIT License
Tutorial on running keras model in C++ and python tensorflow
Boltzmann Machines in TensorFlow with examples
Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural net...
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Create...
In this repository, I will share some useful notes and references about deploying deep learning-b...
Accumulated Gradients for TensorFlow 2
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
A TensorFlow Keras coding style for reducing boilerplate code in custom layers and models.
TensorFlow and Deep Learning Tutorials
Introduction to Deep Neural Networks with Keras and Tensorflow
Interpretability Methods for tf.keras models with Tensorflow 2.x
A curated list of dedicated resources and applications
Header-only library for using Keras (TensorFlow) models in C++.