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Stars
Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
zellij, yazi and nushell adding a File Tree to Helix & helix-friendly keybindigs for zellij
A Python framework for high performance GPU simulation and graphics
Lightweight, general, scalable C++ library for finite element methods
Coupling Code for Numerical Tools. The documentation can be found at
CoFEA Initiative aims to popularise free FE simulation codes
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Learning optimal wavelet bases using a neural network approach in Pytorch
Differentiable Finite Element Method with JAX
Interactive Jupyter Notebooks for learning the fundamentals of Density-Functional Theory (DFT)
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Generative model employing semi-supervised learning and physical constraints for learning a PDE surrogate.
A plugin for TensorBoard to customize and export Scalar plots
Simple http server in Rust (Windows/Mac/Linux)
Demo Weibull Time-to-event Recurrent Neural Network in Keras
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
A Tensorflow 2 implementation of TSPN, a model that uses Transformers to predict a variable sized set of points from a fixed sized vector
Conda environment and package management extension from within Jupyter
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks