• Stars
    star
    4
  • Rank 3,286,750 (Top 66 %)
  • Language
    C++
  • License
    Other
  • Created over 2 years ago
  • Updated over 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Python
856
star
2

HyperNetX

Python package for hypergraph analysis and visualization.
Python
530
star
3

safekit

Python
140
star
4

SHAD

Scalable High-performance Algorithms and Data-structures
C++
122
star
5

OpenCGRA

OpenCGRA is an open-source framework for modeling, testing, and evaluating CGRAs.
Verilog
97
star
6

NWGraph

Complete Project Documentation
C++
91
star
7

cmaputil

Python
80
star
8

QASMBench

A low-level OpenQASM benchmark suite for NISQ evaluation and simulation. Please see our paper for details.
OpenQASM
79
star
9

ExaGO

High-performance power grid optimization for stochastic, security-constrained, and multi-period ACOPF problems.
C++
64
star
10

isicle

In silico chemical library engine for high-accuracy chemical property prediction
Python
58
star
11

DM-Sim

DM-Sim: Quantum Simulator on GPU Cluster using Density Matrix
OpenQASM
51
star
12

lamellar-runtime

Lamellar is an asynchronous tasking runtime for HPC systems developed in RUST
Rust
42
star
13

deps_arXiv2020

Differentiable predictive control (DPC) policy optimization examples.
MATLAB
41
star
14

DHSVM-PNNL

C
39
star
15

tesp

Python
39
star
16

COMET

C++
34
star
17

soda-opt

C++
32
star
18

deimos

Python
31
star
19

darkchem

Python
31
star
20

TCBNN

Cuda
31
star
21

ripples

A C++ Library for Influence Maximization
C++
30
star
22

chgl

Chapel HyperGraph Library (CHGL) - HPC-class Hypergraphs in Chapel
Chapel
29
star
23

SLiCE

Subgraph Based Learning of Contextual Embedding
Python
28
star
24

gmt

Global Memory and Threading runtime system
C
23
star
25

chissl

Interactive machine learning interface
Jupyter Notebook
22
star
26

s-blas

This package includes the implementation for four sparse linear algebra kernels: Sparse-Matrix-Vector-Multiplication (SpMV), Sparse-Triangular-Solve (SpTRSV), Sparse-Matrix-Transposition (SpTrans) and Sparse-Matrix-Matrix-Multiplication (SpMM) for Single-node Multi-GPU (scale-up) platforms such as NVIDIA DGX-1 and DGX-2.
C++
22
star
27

MSAC

Jupyter Notebook
21
star
28

socialsim

Python
20
star
29

qasmtrans

A C++ based quantum transpiler for NISQ devices
OpenQASM
20
star
30

chemreasoner

ChemReasoner - Catalyst Discovery via Large Language Model-driven Reasoning
Python
20
star
31

torchntk

Jupyter Notebook
19
star
32

buildingid

Unique Building Identifier (UBID)
18
star
33

mol_dgnn

Molecular Dynamic Graph Neural Network
Python
18
star
34

DeepDataProfiler

Python library for analyzing the internal structure of deep neural networks.
Jupyter Notebook
18
star
35

mercat

MerCat: python code for versatile k-mer counting and diversity estimation for database independent property analysis for meta -ome data
Python
18
star
36

leapR

R
17
star
37

E4D

Standard ML
17
star
38

socialsim_package

Jupyter Notebook
17
star
39

DDKS

A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions
Jupyter Notebook
16
star
40

GridSTAGE

MATLAB
16
star
41

slim

Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
Cuda
16
star
42

pychip_gui

pyCHIP is a tool for segmentation and feature classification in transmission electron microscopy (TEM) images based on a small support set of user-provided examples.
HTML
16
star
43

NWQ-Sim

OpenQASM
15
star
44

sven

JavaScript
15
star
45

arena

The programming runtime and interfaces for ARENA.
C++
14
star
46

fqc

📈 Extensible quality control dashboard built around FASTQ assessment.
JavaScript
14
star
47

buildingid-py

Unique Building Identifier (UBID)
Python
14
star
48

hundo

💯 Snakemake-based amplicon processing protocol for 16S and ITS sequences.
HTML
14
star
49

memgaze

C
12
star
50

SV-Sim

SV-Sim: Scalable PGAS-based State Vector Simulation of Quantum Circuits
OpenQASM
11
star
51

Neural-Modules-for-Differential-Algebraic-Equations

Jupyter Notebook
11
star
52

hexwatershed

Flow routing using a hexagonal grid.
C++
10
star
53

HiParTI

C
10
star
54

solubility-prediction-paper

Jupyter Notebook
10
star
55

blueprint-styler

Make custom blueprint.css styles
TypeScript
10
star
56

rofi

C
9
star
57

copper

Performance curve generator for building energy simulation
Python
9
star
58

hypernetx-widget

JavaScript
9
star
59

eqc

Python
8
star
60

ANIMATE

Jupyter Notebook
8
star
61

i2x

Interconnection Innovation e-Xchange (i2x) Test Systems
Python
8
star
62

esteem

JavaScript
8
star
63

GeoCLUSTER

GeoCLUSTER is a Python-based web application that provides a collection of interactive methods for streamlining the visualization of the technical and economic modeling of closed-loop geothermal systems.
Python
8
star
64

cactus

LLM Agent that leverages cheminformatics tools to provide informed responses.
Jupyter Notebook
8
star
65

mcl

C
7
star
66

grid_prediction

Jupyter Notebook
7
star
67

ruleset-checking-tool

Python
7
star
68

ARTS

Abstract RunTime System
C
7
star
69

psl

Jupyter Notebook
7
star
70

building-energy-standards-data

Database of building energy standards data for building energy simulation.
Python
6
star
71

gparm

A tool for developing parametric inputs for other software.
Perl
6
star
72

sds

Jupyter Notebook
6
star
73

DMIPL

Differentiable Mixed-Integer Programming Layers
Jupyter Notebook
6
star
74

brislawn-2018-founders-species

🦠 📓 a microbiome paper
HTML
6
star
75

DPC_for_robotics

Python
6
star
76

AutoMicroED

Python
6
star
77

qFeature

Extract features from time series using moving windows of regression fits
HTML
6
star
78

STOMP-W

Fortran 90 source code, example problems, and output conversion scripts for the STOMP-W simulator.
Fortran
6
star
79

lamellar

Lamellar is an asynchronous tasking runtime for HPC systems developed in RUST
5
star
80

ThermalTracker

C++
5
star
81

Active-Sampling-for-Atomistic-Potentials

Active sampling for neural network potentials: Accelerated simulations of shear-induced deformation in Cu–Ni multilayers
Python
5
star
82

NWPEsSE

Python
5
star
83

ConStrain

ConStrain is a data-driven knowledge-integrated framework that automatically verifies that building system controls function as intended.
Jupyter Notebook
5
star
84

nwqbench

Python
4
star
85

nmrfit

Quantitative NMR analysis through least-squares fit of spectroscopy data
Python
4
star
86

LOPO

Learning to Optimize with Proximal Operators (LOPO)
Jupyter Notebook
4
star
87

DieselWolf

Open source data set for radio frequency machine learning research
Jupyter Notebook
4
star
88

pytorch_soo

Second Order Optimizers for Machine Learning
HTML
4
star
89

pecblocks

Generalized block diagram modeling of power electronic converters for grid solar and storage applications.
Python
4
star
90

external_sort

Rust
4
star
91

conformer_selection

Jupyter Notebook
4
star
92

neural_ODE_ICLR2020

Python
4
star
93

sppsi_cppf

Simulate microstructure evolution using the coupled CP and PF methods for the SPPSI project.
GLSL
4
star
94

rsed

Stream editing in R: Manipulating text files with insertions, replacements, deletions, substitutions, and commenting
R
4
star
95

ssass-e

SSASSE software is responsible for validating, and verifying innovative safe scanning methodologies, models, architectures, and prototypes to safely assess operational technology (OT) installed in critical energy infrastructure.
Python
4
star
96

oedisi_dopf

OpenEDI - System Integration (OEDI-SI) - PNNL Distributed Optimal Power Flow (DOPF)
Jupyter Notebook
4
star
97

DREAM_V2

The DREAM tool is an optimization software that determines subsurface monitoring configurations which detect carbon dioxide (CO2) leakage in the least amount of time. DREAM reads ensembles of CO2 leakage scenarios and determines optimal monitoring locations and techniques to deploy based on user-identified constraints. These data result in well configurations with the highest potential to detect leakage and minimize aquifer degradation in the shortest amount of time. DREAM was developed as part of the National Risk Assessment Partnership.
Java
4
star
98

pakman

PaKman: A Scalable Algorithm for Generating Genomic Contigs on Distributed Memory Machines
C++
4
star
99

mass1

Modular Aquatic Simulation System 1D (MASS1)
Fortran
3
star
100

renyiqnets

Python
3
star