st-te's Stars
sooftware/attentions
PyTorch implementation of some attentions for Deep Learning Researchers.
xcyan/nips16_PTN
Torch Implementation of NIPS'16 paper: Perspective Transformer Nets
Stability-AI/generative-models
Generative Models by Stability AI
tsudalab/combo3
COMBO for Python 3
cdoersch/vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
google-deepmind/ferminet
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
alen-smajic/Stable-Diffusion-Latent-Space-Explorer
Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
pnnl/Active-Sampling-for-Atomistic-Potentials
Active sampling for neural network potentials: Accelerated simulations of shear-induced deformation in Cu–Ni multilayers
keeeto/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
keeeto/ml-training-resources
keeeto/reading-ml-chemistry
keeeto/machine-learning-for-materials-book
Liu-group/AutoSolvate
Automated workflow for generating quantum chemistry calculation of explicitly solvated molecules
AFM-analysis/PyJibe
GUI for AFM data analysis with an emphasis on biological specimens
AFM-SPM/TopoStats
An AFM image analysis program to batch process data and obtain statistics from images