Abhijith S Parackal (Abhivega)

Abhivega

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Location:Sweden

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Abhijith S Parackal's starred repositories

doped

doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, user-friendly yet powerful and fully-customisable manner.

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weightbridge

Map (deep learning) model weights between different model implementations.

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ploomber

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

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stopping-bayesian-optimization

Exploring quantitative metrics for when to stop Bayesian optimization

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cuda_mace

CUDA implementations of MACE models

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computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

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rocSOLVER

Next generation LAPACK implementation for ROCm platform

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ConfigSpace

Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

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gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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LovelyPlots

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

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cosmopolitan

build-once run-anywhere c library

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einx

Universal Tensor Operations in Einstein-Inspired Notation for Python.

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matscipy

Materials science with Python at the atomic-scale

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fast_flops

FLOPS counter for all your GPU benchmarking needs

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quacc

quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.

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mpi4jax

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

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vesin

Compute neighbor lists for atomistic systems

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mkdocs-material

Documentation that simply works

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Perplexica

Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

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natsort

Simple yet flexible natural sorting in Python.

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matten

MatTen: Equivariant Graph Neural Nets for Tensorial Properties of Materials

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Awesome-Graph-Research-ICML2024

All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.

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llama-fs

A self-organizing file system with llama 3

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Getting_Started_with_AI_workshop

Jupyter notebooks, jobscripts and other files for the "Getting started with AI on LUMI" workshop

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omegaconf

Flexible Python configuration system. The last one you will ever need.

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Tutorial-X-ray-from-RSPt

This is a Tutorial on how to calculate X-ray spectra using RSPt and the impurityModel code

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