TruongChien's Stars
MilesCranmer/PySR
High-Performance Symbolic Regression in Python and Julia
n2cholas/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
dataprofessor/code
Compilation of R and Python programming codes on the Data Professor YouTube channel.
ironjr/grokfast
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
taichi-dev/taichi_elements
High-performance multi-material continuum physics engine in Taichi
deepmodeling/jax-fem
Differentiable Finite Element Method with JAX
masashitsubaki/molecularGNN_smiles
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
luost26/diffab
✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)
tianjuxue/jax-am
Additive manufacturing simulation with JAX.
johnBuffer/Pendulum-NEAT
PolymathicAI/multiple_physics_pretraining
Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
AbSciBio/unlocking-de-novo-antibody-design
dataprofessor/dataprofessor
FEniCS/ufl
UFL - Unified Form Language
pentilm/FEniCS4EM
FEniCS codes for numerical electromagnetic fields. The version of FEniCS is 2017.2
katiana22/TL-DeepONet
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
divnori/rnaflow
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
multiphenics/multiphenics
multiphenics - easy prototyping of multiphysics problems in FEniCS
Brian-hongyan/3D-MCTS
3D-MCTS: A general structure-based molecule generation method with MCTS.
tianjuxue/polycrystal
akirasosa/pytorch-dimenet
tianjuxue/plasticity
wangleiofficial/FAPEloss
alphafold FAPE loss
lupoglaz/DeepProteinDocking2D
Toy problem to explore deep protein docking and algorithms to solve it
MurtoHilali/PepBDB-ML
Enriched dataset generated from the PepBDB database, designed for machine learning and computational biology tasks.
akirasosa/pre-training-mol
Applying self pre-training method to GNN for quantum chemistry
riccobelli/bifenics
Collection of continuation algorithms for FEniCS
devalab/TorRNA
Improved prediction of Torsion angles of RNA by leveraging large language models
riccobelli/dielectric_elastomer_balloon
Source code for the stability analysis of a spherical shell composed of a dielectric elastomer and an elastic layer.