Morty

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Brevitas: neural network quantization in PyTorch

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Code accompanying my blog post: So, what is a physics-informed neural network?

QKeras: a quantization deep learning library for Tensorflow Keras

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

A Physics Informed Neural Network made using PyTorch

Algebraic enhancements for GEMM & AI accelerators

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.