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GDufenshuoo
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Simple development server with live-reload capability for Julia.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
Julia bindings for the Enzyme automatic differentiator
Deep RNN, LSTM, GRU, GF-RNN, and GF-LSTMs in Julia
This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kern…
An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.
Fast and flexible nonadiabatic molecular dynamics in Julia!
mathLab / PyDMD
Forked from PyDMD/PyDMDmathLab mirror of Python Dynamic Mode Decomposition
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
Provides differentiable versions of common HEP operations and objectives.
The Fireworks Workflow Management Repo.
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A differential eDSL that can run faster than light and go back to the past.
Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
Graph Neural Network Library for PyTorch
Formatted output of timed sections in Julia
SchNetPack - Deep Neural Networks for Atomistic Systems
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Utility package for accessing common Machine Learning datasets in Julia
Repository of best practices for deep learning in Julia, inspired by fastai
Graph Neural Networks in Julia