alexdkeros

alexdkeros's Stars

• Howuhh/sac-n-jax

  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch

  Language:Python463

• phlippe/uvadlc_notebooks

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

  Language:Jupyter Notebook2.4k555

• wreise/local_homology

  Language:Jupyter Notebook2

• MMunibas/PhysNet

  Code for training PhysNet models

  Language:Python8827

• tummfm/difftre

  Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting

  Language:Jupyter Notebook289

• psibi/how-to-prove

  My Solution to Velleman's book

  Language:TeX23094

• cagrikymk/JAX-ReaxFF

  JAX-ReaxFF: A Gradient Based Framework for Extremely Fast Optimization of Reactive Force Fields

  Language:Python5524

• itsdaniele/jeometric

  Graph neural networks in JAX.

  Language:Python641

• AntreasAntoniou/infk8s-tutorial

  Language:Dockerfile61

• lantertronics/guitar-amplification-and-effects

  Files for my "Guitar Amplification and Effects" class at Georgia Tech

  446

• glotzerlab/hoomd-workshop

  Interactive workshop teaching HOOMD-blue.

  Language:Jupyter Notebook33

• glotzerlab/gsd

  Read and write GSD files for use with HOOMD-blue.

  Language:Python257

• glotzerlab/freud

  Powerful, efficient particle trajectory analysis in scientific Python.

  Language:C++27049

• glotzerlab/hoomd-examples

  HOOMD-blue example scripts.

  Language:Jupyter Notebook3515

• steveazzolin/gdl_tutorial_turinginst

  Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute

  Language:Jupyter Notebook527

• glotzerlab/hoomd-validation

  Longer Running Validation Tests for HOOMD-blue

  Language:Python3

• glotzerlab/hoomd-blue

  Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

  Language:C++329127

• ashutoshIITK/install_cuda_cudnn_ubuntu_20

  Tutorial to install NVIDIA Drivers, CUDA 11.4 and cuDNN for deep learning programming on Ubuntu 20.04.

  568

• SaitejaUtpala/rieoptax

  Riemannian Optimization Using JAX

  Language:Jupyter Notebook434

• isl-org/DeepLagrangianFluids

  Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.

  Language:Python20741

• whitead/dmol-book

  Deep learning for molecules and materials book

  Language:Jupyter Notebook606118

• alecjacobson/common-3d-test-models

  Repository containing common 3D test models in original format with original source if known and obj mesh

  Language:Forth1.1k139

• yuanming-hu/taichi

  My fork of https://github.com/taichi-dev/taichi

  Language:C++40468

• tum-pbs/PhiFlow

  A differentiable PDE solving framework for machine learning

  Language:Python1.4k193

• njanakiev/blender-scripting

  Introduction to blender scripting

  Language:Python753115

• xiaoyuxie-vico/Awesome-ML-PDE

  Resources about Machine Learning for solving PDEs.

  464

• neurreps/awesome-neural-geometry

  A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

  89360

• mmolero/awesome-point-cloud-processing

  A curated list of awesome Point Cloud Processing Resources, Libraries, Software

  730132

• bluestyle97/awesome-3d-reconstruction-papers

  A collection of 3D reconstruction papers in the deep learning era.

  72754

• yinyunie/3D-Shape-Analysis-Paper-List

  A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

  Language:Python943113