Python Slurm-wrappers Resources

Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th

audacitorch This package contains utilities for prepping PyTorch audio models for use in Audacity. More specifically, it provides abstract classes for

Gpu-Monitor A Python function for Slurm, where I couldn't use nvidia-smi to monitor the GPU information. whole repo is not finish Installation TODO Mo

Python wrappers for INHECO ODTC and SCILA libraries by INHECO GmbH.

Slurm Web A simple website-based resource monitor for slurm system. Screenshot Required python packages flask, colored, humanize, humanfriendly, beart

MLops tools review focused on execution using multiple cluster types: slurm, kubernetes, dask...

Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your machine! Motivation Would

Slurm-Hydra-Submitit This repository is a minimal working example on how to: setup Hydra setup batch of slurm jobs on top of Hydra via submitit-launch

easy_sbatch - Batch submitting Slurm jobs with script templates

qbatch Execute shell command lines in parallel on Slurm, S(on) of Grid Engine (SGE), PBS/Torque clusters qbatch is a tool for executing commands in pa

DPDispatcher DPDispatcher is a python package used to generate HPC(High Performance Computing) scheduler systems (Slurm/PBS/LSF/dpcloudserver) jobs in

SymEngine Python Wrappers Python wrappers to the C++ library SymEngine, a fast C++ symbolic manipulation library. Installation Pip See License section

Bringing Async Capabilities to django ORM

SuperSuit introduces a collection of small functions which can wrap reinforcement learning environments to do preprocessing ('microwrappers'). We supp

"Dataflow variables are spectacularly expressive in concurrent programming" Henri E. Bal , Jennifer G. Steiner , Andrew S. Tanenbaum Quick overview Ne

SLURM Wrappers Executables job-history A simple wrapper for grabbing data for completed and running jobs. nodes-busy Developed for the HPC systems at

gqueue gqueue is a CLI (command line interface) tool that computes carbon footprint of HPC computations on clusters running slurm. It follows the meth

TWCC-slurm-wrapper A wrapper for slurm especially on Taiwania2 (HPC CLI). For Taiwania2 (HPC CLI) usage, please refer to here. (中文) How to Install? gi

django-webpack-loader Use webpack to generate your static bundles without django's staticfiles or opaque wrappers. Django webpack loader consumes the

PyTorch wrappers for using your model in audacity!

bartpy Python bindings for BART. Overview This repo contains code to generate an updated Python wrapper for the Berkeley Advance Reconstruction Toolbo

OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.

Maya FunctionSet (maya_fn) A package that decompose core maya.cmds and maya.api features to a set of simple functions. Tests The recommended approach

Cluster di HPC con GPU per esperimenti di calcolo (draft version 1.0) Per poter utilizzare il cluster il primo passo è abilitare l'account istituziona

Submit it! What is submitit? Submitit is a lightweight tool for submitting Python functions for computation within a Slurm cluster. It basically wraps

SigOpt + scikit-learn Interfacing This package implements useful interfaces and wrappers for using SigOpt and scikit-learn together Getting Started In

Regularized Greedy Forest Regularized Greedy Forest (RGF) is a tree ensemble machine learning method described in this paper. RGF can deliver better r

wrapt The aim of the wrapt module is to provide a transparent object proxy for Python, which can be used as the basis for the construction of function

Dynload wrapper This program will generate a wrapper to make it easy to dlopen() shared objects on Linux without writing a ton of boilerplate code. Th

skift scikit-learn wrappers for Python fastText. from skift import FirstColFtClassifier df = pandas.DataFrame([['woof', 0], ['meow', 1]], colu

Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo

skift scikit-learn wrappers for Python fastText. from skift import FirstColFtClassifier df = pandas.DataFrame([['woof', 0], ['meow', 1]], colu

Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo

Rosetta Tools for data science with a focus on text processing. Focuses on "medium data", i.e. data too big to fit into memory but too small to necess

Regularized Greedy Forest Regularized Greedy Forest (RGF) is a tree ensemble machine learning method described in this paper. RGF can deliver better r