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Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.

Jupyter Notebook 15 3 Updated Mar 10, 2024
Python 141 16 Updated Feb 13, 2025

zellij, yazi and nushell adding a File Tree to Helix & helix-friendly keybindigs for zellij

Nushell 301 18 Updated Dec 22, 2024

A Python framework for high performance GPU simulation and graphics

Python 4,553 260 Updated Feb 14, 2025

Lightweight, general, scalable C++ library for finite element methods

C++ 1,796 511 Updated Feb 15, 2025

Coupling Code for Numerical Tools. The documentation can be found at

Python 33 5 Updated Feb 14, 2025

CoFEA Initiative aims to popularise free FE simulation codes

Python 34 10 Updated Mar 22, 2023

Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint

Jupyter Notebook 93 12 Updated Nov 12, 2023

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

Jupyter Notebook 486 46 Updated May 22, 2024

Learning optimal wavelet bases using a neural network approach in Pytorch

Python 21 4 Updated Feb 11, 2018

Differentiable Finite Element Method with JAX

Python 338 53 Updated Dec 13, 2024

Normalizing flows in PyTorch

Python 355 25 Updated Nov 25, 2024

Interactive Jupyter Notebooks for learning the fundamentals of Density-Functional Theory (DFT)

Jupyter Notebook 66 10 Updated Dec 2, 2024

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

Jupyter Notebook 173 62 Updated Feb 25, 2021

Perfect crystal python tools

Python 3 3 Updated Jan 29, 2018

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

Jupyter Notebook 939 193 Updated Jan 6, 2025

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Python 1,540 143 Updated Feb 10, 2025

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Python 2,232 153 Updated Feb 15, 2025

Generative model employing semi-supervised learning and physical constraints for learning a PDE surrogate.

Python 9 Updated Oct 2, 2020

A plugin for TensorBoard to customize and export Scalar plots

JavaScript 34 2 Updated Oct 21, 2023

Simple http server in Rust (Windows/Mac/Linux)

Rust 2,792 180 Updated Nov 4, 2024

Demo Weibull Time-to-event Recurrent Neural Network in Keras

Python 222 73 Updated Apr 16, 2019

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

Jupyter Notebook 237 95 Updated Sep 9, 2018

A Tensorflow 2 implementation of TSPN, a model that uses Transformers to predict a variable sized set of points from a fixed sized vector

Python 3 2 Updated Jan 24, 2021

New API client for the Materials Project

Python 127 46 Updated Feb 11, 2025

The Fast Cross-Platform Package Manager

C++ 7,130 380 Updated Feb 14, 2025

Conda environment and package management extension from within Jupyter

TypeScript 267 30 Updated Jan 6, 2025

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Jupyter Notebook 2,710 611 Updated Oct 27, 2024

[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Python 226 44 Updated Feb 11, 2025

A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks

Python 128 12 Updated Jan 14, 2022
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