Simple and distributed Machine Learning
High-Performance Symbolic Regression in Python and Julia
Deep neural networks for density functional theory Hamiltonian
Time series forecasting with PyTorch
Universal modeling and simulation of fluid mechanics upon ML
Julia Devito inversion
A package for Counterfactual Explanations and Algorithmic Recourse
.NET Standard bindings for Google's TensorFlow for developing models
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
Computation and Visualization environment
AI Disease Detections System
X-ray diffraction (XRD) analysis for hkl simulation of any crystal.
Latest techniques in deep learning and representation learning
Portable Ubuntu Linux for Scientific Computing
Tuning of java neuroph.org neural nets.