sltan0331's Stars
usnistgov/aims2024_workshop
JARVIS-AIMS workshop
mackelab/sbi_AIMS
Public repository for the sbi course at AIMS 2024
usnistgov/alignn
Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ&hl=en
recursionpharma/gflownet
GFlowNet library specialized for graph & molecular data
GFNOrg/conf-gfn
saleml/continuous-gfn
alexhernandezgarcia/gflownet
Generative Flow Networks - GFlowNet
futianfan/reinforced-genetic-algorithm
Structure-based Drug Design; Reinforcement Learning and Genetic Algorithm
upb-lea/transistordatabase_File_Exchange
Data exchange for transistor objects generated and managed with Transistor_Database
upb-lea/transistordatabase
A unified software engineering tool for managing and evaluating power transistors
Tikquuss/GflowNets_Tutorial
GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Method and Important Sampling
GFNOrg/gflownet
Generative Flow Networks
GFNOrg/torchgfn
GFlowNet library
K4ys4r/BoltzTraP_Tools
BoltzTraP_Tools is an interface written using Python 2 language. It allows to parse and plot BoltzTraP output DATA
colbybrooks/Automating-HSPICE
Script that automates the process to create multiple Spice files through copying and appending. Each file is ran through subprocess and HSPICE, output is saved to find min Time Delay.
werner2101/spicelib
Tools to collect and test spice models
XiangyuBi/Python-SPICE-simulator-with-memristor
A HSPICE-like simulator including memristor device
davidreiman/snl
Personal implementation of Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
sbi-dev/sbi
Simulation-based inference toolkit
leobrowning92/networksim-cntfet
Simulation for the conduction between carbon nanotubes (CNTs) in a random network field effect transistor
pycroscopy/atomai
Deep and Machine Learning for Microscopy
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural nets
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
Oscarlight/PiNN_Caffe2
PiNN2 is a easy-to-use framework for device compact modeling using physics-inspired neural networks
oneapi-src/oneDNN
oneAPI Deep Neural Network Library (oneDNN)
luigiannelli/threeLS_populationtransfer
A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
gomes-lab/Mat2Spec
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
rmnfournier/ACANN
Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)