asclepiusinformatica Goto Github PK

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asclepiusinformatica's Projects

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

sdypy

Structural Dynamics Python

se3-transformer-public

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

se3-transformer-pytorch

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

se3_diffusion

Implementation for SE(3) diffusion model with application to protein backbone generation

se3cnn

Euclidean Neural Networks

seqdesign

Protein design and variant prediction using autoregressive generative models

sgdmlsymmetricgradientdomainml

sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model

shellmodel.jl

Julia code for nuclear shell-model calculations

sidechainnet

An all-atom protein structure dataset for machine learning.

simanneal

Python module for Simulated Annealing optimization

sklearn_pytorch

Transposition in PyTorch to Sklearn models such as Random Forest or SVM

skorch

A scikit-learn compatible neural network library that wraps PyTorch

smoothfit

Smooth data fitting in N dimensions.

space_time_pde

MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution

spatialmath-python

Create, manipulate and convert representations of position and orientation in 2D or 3D using Python

ssbio

A Python framework for structural systems biology

strategically_efficient_rl

More efficient exploration for reinforcement learning in two-player, zero-sum game

string-method-swarms-trajectories

A python implementation of the string method with swarms of trajectories using GROMACS

stylegan3

Official PyTorch implementation of StyleGAN3

subspace-diffusion

Improved diffusion generative models with subspaces

sudeepraja.github.io

Build a Jekyll blog in minutes, without touching the command line.

suitesparse

The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University. NOTE: PRs without signed CONTRIBUTOR AGREEMENT can't be accepted.