alexdkeros
PhD student in Computational Topology @ University of Edinburgh
University of EdinburghEdinburgh, Scotland, UK
alexdkeros's Stars
Howuhh/sac-n-jax
Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
wreise/local_homology
MMunibas/PhysNet
Code for training PhysNet models
tummfm/difftre
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
psibi/how-to-prove
My Solution to Velleman's book
cagrikymk/JAX-ReaxFF
JAX-ReaxFF: A Gradient Based Framework for Extremely Fast Optimization of Reactive Force Fields
itsdaniele/jeometric
Graph neural networks in JAX.
AntreasAntoniou/infk8s-tutorial
lantertronics/guitar-amplification-and-effects
Files for my "Guitar Amplification and Effects" class at Georgia Tech
glotzerlab/hoomd-workshop
Interactive workshop teaching HOOMD-blue.
glotzerlab/gsd
Read and write GSD files for use with HOOMD-blue.
glotzerlab/freud
Powerful, efficient particle trajectory analysis in scientific Python.
glotzerlab/hoomd-examples
HOOMD-blue example scripts.
steveazzolin/gdl_tutorial_turinginst
Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
glotzerlab/hoomd-validation
Longer Running Validation Tests for HOOMD-blue
glotzerlab/hoomd-blue
Molecular dynamics and Monte Carlo soft matter simulation on GPUs.
ashutoshIITK/install_cuda_cudnn_ubuntu_20
Tutorial to install NVIDIA Drivers, CUDA 11.4 and cuDNN for deep learning programming on Ubuntu 20.04.
SaitejaUtpala/rieoptax
Riemannian Optimization Using JAX
isl-org/DeepLagrangianFluids
Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.
whitead/dmol-book
Deep learning for molecules and materials book
alecjacobson/common-3d-test-models
Repository containing common 3D test models in original format with original source if known and obj mesh
yuanming-hu/taichi
My fork of https://github.com/taichi-dev/taichi
tum-pbs/PhiFlow
A differentiable PDE solving framework for machine learning
njanakiev/blender-scripting
Introduction to blender scripting
xiaoyuxie-vico/Awesome-ML-PDE
Resources about Machine Learning for solving PDEs.
neurreps/awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
mmolero/awesome-point-cloud-processing
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
bluestyle97/awesome-3d-reconstruction-papers
A collection of 3D reconstruction papers in the deep learning era.
yinyunie/3D-Shape-Analysis-Paper-List
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).