Harrydirk41's Stars
freelunchtheorem/Conditional_Density_Estimation
Package implementing various parametric and nonparametric methods for conditional density estimation
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
jax-md/jax-md
Differentiable, Hardware Accelerated, Molecular Dynamics
sbrodehl/MD-AlanineDipeptide
Molecular Dynamics Simulation of Alanine Dipeptide and Dihedral Angle Analysis
tiwarylab/DDPM_REMD
Denoising diffusion probabilistic models for replica exchange
deeptime-ml/deeptime
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
JTT94/diffusion_schrodinger_bridge
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
DPS2022/diffusion-posterior-sampling
Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"
gzhu06/Manifold-Constrained-Gradient-ipynb
Unofficial implementation for the paper 'Improving Diffusion Models for Inverse Problems using Manifold Constraints'[https://arxiv.org/abs/2206.00941]
yang-song/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
HJ-harry/MCG_diffusion
Official PyTorch implementation of the NeurIPS 2022 paper "Improving Diffusion Models for Inverse Problems using Manifold Constraints (https://arxiv.org/abs/2206.00941)"
gcorso/torsional-diffusion
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
oxcsml/riemannian-score-sde
Score-based generative models for compact manifolds
ermongroup/ncsnv2
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
ermongroup/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
mfkasim1/score-based-tutorial
A short tutorial for score-based generative modelling
ermongroup/sliced_score_matching
Code for reproducing results in the sliced score matching paper (UAI 2019)
yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
jliu/graph-normalizing-flows
Code for Graph Normalizing Flows.
coarse-graining/cgnet
learning coarse-grained force fields
blt2114/CDE_with_BNF
Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows
gpapamak/snl
Sequential Neural Likelihood
vislearn/FrEIA
Framework for Easily Invertible Architectures
bayesiains/nflows
Normalizing flows in PyTorch
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
noegroup/bgflow
Boltzmann Generators and Normalizing Flows in PyTorch
neuraloperator/GANO
google-deepmind/alphafold
Open source code for AlphaFold.
VGraphRNN/VGRNN
Variational Graph Recurrent Neural Networks - PyTorch
MinkaiXu/CGCF-ConfGen
:test_tube: Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)